article

A review of the role of sensors in mobile context-aware recommendation systems

Authors:

Ramón Hermoso,

Raquel Trillo-Lado,

María del Carmen Rodríguez-HernándezAuthors Info & Claims

International Journal of Distributed Sensor Networks, Volume 2015

Article No.: 226, Page 226

https://doi.org/10.1155/2015/489264

Published: 01 January 2016 Publication History

Abstract

Recommendation systems are specialized in offering suggestions about specific items of different types (e.g., books, movies, restaurants, and hotels) that could be interesting for the user. They have attracted considerable research attention due to their benefits and also their commercial interest. Particularly, in recent years, the concept of context-aware recommendation system has appeared to emphasize the importance of considering the context of the situations in which the user is involved in order to provide more accurate recommendations. The detection of the context requires the use of sensors of different types, which measure different context variables. Despite the relevant role played by sensors in the development of context-aware recommendation systems, sensors and recommendation approaches are two fields usually studied independently. In this paper, we provide a survey on the use of sensors for recommendation systems. Our contribution can be seen from a double perspective. On the one hand, we overview existing techniques used to detect context factors that could be relevant for recommendation. On the other hand, we illustrate the interest of sensors by considering different recommendation use cases and scenarios.

References

[1]

G. Adomavicius and A. Tuzhilin, "Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions," IEEE Transactions on Knowledge and Data Engineering, vol. 17, no. 6, pp. 734-749, 2005.

Digital Library

[2]

J. Bobadilla, F. Ortega, A. Hernando, and A. Gutiérrez, "Recommender systems survey," Knowledge-Based Systems, vol. 46, pp. 109-132, 2013.

Digital Library

[3]

P. Resnick and H. R. Varian, "Recommender systems," Communications of the ACM, vol. 40, no. 3, pp. 56-58, 1997.

Digital Library

[4]

F. Ricci, L. Rokach, B. Shapira, and P. B. Kantor, Eds., Recommender Systems Handbook, Springer, 2011.

Digital Library

[5]

M. Balabanovic and Y. Shoham, "Content-based, collaborative recommendation," Communications of the ACM, vol. 40, no. 3, pp. 66-72, 1997.

Digital Library

[6]

A. I. Schein, A. Popescul, L. H. Ungar, and D. M. Pennock, "Methods and metrics for cold-start recommendations," in Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '02), pp. 253-260, ACM, Tampere, Finland, August 2002.

[7]

O. Wolfson, B. Xu, H. Yin, and N. Rishe, "Resource discovery using spatio-temporal information inmobile ad-hoc networks," in Web and Wireless Geographical Information Systems: 5th International Workshop, W2GIS 2005, Lausanne, Switzerland, December 15-16, 2005. Proceedings, vol. 3833 of Lecture Notes in Computer Science, pp. 129-142, Springer, Berlin, Germany, 2005.

Digital Library

[8]

A. K. Dey, "Understanding and using context," Personal and Ubiquitous Computing, vol. 5, no. 1, pp. 4-7, 2001.

Digital Library

[9]

P. Dourish, "What we talk about when we talk about context," Personal and Ubiquitous Computing, vol. 8, no. 1, pp. 19-30, 2004.

Digital Library

[10]

W. Woerndl and J. Schlichter, "Introducing context into recommender systems," in Proceedings of the AAAI Workshop on Recommender Systems in E-Commerce, pp. 138-140, Association for the Advancement of Artificial Intelligence (AAAI), July 2007.

[11]

J. Coutaz, J. L. Crowley, S. Dobson, and D. Garlan, "Context is key," Communications of the ACM, vol. 48, no. 3, pp. 49-53, 2005.

Digital Library

[12]

G. Calvary, J. Coutaz, D. Thevenin, Q. Limbourg, L. Bouillon, and J. Vanderdonckt, "A unifying reference framework for multi-target user interfaces," Interacting with Computers, vol. 15, no. 3, pp. 289-308, 2003.

[13]

G. D. Abowd, A. K. Dey, P. J. Brown, N. Davies, M. Smith, and P. Steggles, "Towards a better understanding of context and context--awareness," in Handheld and Ubiquitous Computing, vol. 1707 of Lecture Notes in Computer Science, pp. 304-307, Springer, Berlin, Germany, 1999.

Digital Library

[14]

V. G. Motti and J. Vanderdonckt, "A computational framework for context-aware adaptation of user interfaces," in Proceedings of the 7th IEEE International Conference on Research Challenges in Information Science (RCIS '13), pp. 1-12, IEEE, Paris, France, May 2013.

[15]

T. Strang and C. Linnhoff-Popien, "A context modeling survey," in Proceedings of the 1st International Workshop on Advanced Context Modelling, Reasoning and Management (UbiComp '04), pp. 1-8, September 2004.

[16]

S. Tamminen, A. Oulasvirta, K. Toiskallio, and A. Kankainen, "Understanding mobile contexts," Personal and Ubiquitous Computing, vol. 8, no. 2, pp. 135-143, 2004.

[17]

M. Baldauf, S. Dustdar, and F. Rosenberg, "A survey on context-aware systems," International Journal of Ad Hoc and Ubiquitous Computing, vol. 2, no. 4, pp. 263-277, 2007.

Digital Library

[18]

G. Chen and D. Kotz, "A survey of context-aware mobile computing research," Tech. Rep. TR2000-381, Department of Computer Science, Dartmouth College, Hanover, NH, USA, 2000.

Digital Library

[19]

L. Han, J. P. Salomaa, J. Ma, and K. Yu, "Research on context-aware mobile computing," in Proceedings of the 22nd International Conference on Advanced Information Networking and Applications Workshops/Symposia (AINA '08), pp. 24-30, Okinawa, Japan, March 2008.

[20]

C. Perera, A. Zaslavsky, P. Christen, and D. Georgakopoulos, "Context aware computing for the internet of things: a survey," IEEE Communications Surveys and Tutorials, vol. 16, no. 1, pp. 414-454, 2014.

[21]

B. N. Schilit, N. Adams, and R. Want, "Context-aware computing applications," in Proceedings of the 1st Workshop on Mobile Computing Systems and Applications, pp. 85-90, IEEE, Santa Cruz, Calif, USA, December 1994.

[22]

J.-Y. Hong, E.-H. Suh, and S.-J. Kim, "Context-aware systems: a literature review and classification," Expert Systems with Applications, vol. 36, no. 4, pp. 8509-8522, 2009.

Digital Library

[23]

S. Ilarri, A. lllarramendi, E. Mena, and A. Sheth, "Semantics in location-based services--guest editors' introduction for special issue," IEEE Internet Computing, vol. 15, no. 6, pp. 10-14, 2011.

Digital Library

[24]

S. Ilarri, E. Mena, and A. Illarramendi, "Location-dependent query processing: where we are and where we are heading," ACM Computing Surveys, vol. 42, no. 3, pp. 12:1-12:73, 2010.

Digital Library

[25]

I. A. Junglas and R. T. Watson, "Location-based services," Communications of the ACM, vol. 51, no. 3, pp. 65-69, 2008.

Digital Library

[26]

B. Rao and L. Minakakis, "Evolution of mobile location-based services," Communications of the ACM, vol. 46, no. 12, pp. 61-65, 2003.

Digital Library

[27]

J. Schiller and A. Voisard, Location Based Services, Morgan Kaufmann, 2004.

Digital Library

[28]

A. Chen, "Context-aware collaborative filtering system: predicting the user's preference in the ubiquitous computing environment," in Location- and Context-Awareness, T. Strang and C. Linnhoff-Popien, Eds., vol. 3479 of Lecture Notes in Computer Science, pp. 244-253, Springer, Berlin, Germany, 2005.

Digital Library

[29]

G. Adomavicius, R. Sankaranarayanan, S. Sen, and A. Tuzhilin, "Incorporating contextual information in recommender systems using a multidimensional approach,"ACM Transactions on Information Systems, vol. 23, no. 1, pp. 103-145, 2005.

Digital Library

[30]

G. Adomavicius and A. Tuzhilin, "Context-aware recommender systems," in Proceedings of the 2nd ACM Conference on Recommender Systems (RecSys '08), pp. 335-336, ACM, Lousanne, Switzerland, October 2008.

[31]

Z. Yujie and W. Licai, "Some challenges for context-aware recommender systems," in Proceedings of the 5th International Conference on Computer Science and Education (ICCSE '10), pp. 362-365, IEEE, Hefei, China, August 2010.

[32]

G. Adomavicius and A. Tuzhilin, "Context-aware recommender systems," in Recommender Systems Handbook, pp. 217-253, Springer, New York, NY, USA, 2011.

[33]

H. Wu, K. Yue, X. Liu, Y. Pei, and B. Li, "Context-aware recommendation via graph-based contextual modeling and postfiltering," International Journal of Distributed Sensor Networks, vol. 2015, Article ID 613612, 10 pages, 2015.

Digital Library

[34]

Q. Liu, H. Ma, E. Chen, and H. Xiong, "A survey of context aware mobile recommendations," International Journal of Information Technology and Decision Making, vol. 12, no. 1, pp. 139- 172, 2013.

[35]

C. Mettouris and G. A. Papadopoulos, "Ubiquitous recommender systems," Computing, vol. 96, no. 3, pp. 223-257, 2014.

Digital Library

[36]

M. del Carmen Rodríguez-Hernández and S. Ilarri, "Pull-based recommendations in mobile environments," Computer Standards & Interfaces, 2015.

[37]

W. Woerndl, J. Huebner, R. Bader, and D. Gallego-Vico, "A model for proactivity in mobile, context-aware recommender systems," in Proceedings of the 5th ACM Conference on Recommender Systems (RecSys '11), pp. 273-276, ACM, Boston, Mass, USA, October 2011.

Digital Library

[38]

S. Kabadayi, A. Pridgen, and C. Julien, "Virtual sensors: abstracting data from physical sensors," in Proceedings of the International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM '06), pp. 587-592, New York, NY, USA, June 2006.

[39]

A. Rosi, M. Mamei, and F. Zambonelli, "Integrating social sensors and pervasive services: approaches and perspectives," International Journal of Pervasive Computing and Communications, vol. 9, no. 4, pp. 294-310, 2013.

[40]

M.-D. Albakour, C. Macdonald, and I. Ounis, "Identifying local events by using microblogs as social sensors," in Proceedings of the 10th Conference on Open Research Areas in Information Retrieval (OAIR '13), pp. 173-180,ACM, Lisbon, Portugal, 2013.

[41]

T. Lovett, E. O'Neill, J. Irwin, and D. Pollington, "The calendar as a sensor: analysis and improvement using data fusion with social networks and location," in Proceedings of the 12th International Conference on Ubiquitous Computing (UbiComp '10), pp. 3-12, September 2010.

Digital Library

[42]

M. F. Goodchild, "Citizens as sensors: the world of volunteered geography," GeoJournal, vol. 69, no. 4, pp. 211-221, 2007.

[43]

L. Kazemi and C. Shahabi, "GeoCrowd: enabling query answering with spatial crowdsourcing," in Proceedings of the 20th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL GIS '12), pp. 189- 198, Redondo Beach, Calif, USA, November 2012.

Digital Library

[44]

A. T. Campbell, S. B. Eisenman, N. D. Lane, E. Miluzzo, and R. A. Peterson, "People-centric urban sensing," in Proceedings of the 2nd Annual International Workshop on Wireless Internet (WICON '06), pp. 1-14, ACM, August 2006.

[45]

R. K. Ganti, F. Ye, and H. Lei, "Mobile crowdsensing: current state and future challenges," IEEE Communications Magazine, vol. 49, no. 11, pp. 32-39, 2011.

[46]

N. D. Lane, E. Miluzzo, H. Lu, D. Peebles, T. Choudhury, and A. T. Campbell, "A survey of mobile phone sensing," IEEE Communications Magazine, vol. 48, no. 9, pp. 140-150, 2010.

Digital Library

[47]

J. Burke, D. Estrin, M. Hansen et al., "Participatory sensing," in World Sensor Web Workshop (WSW), pp. 1-5, ACM, 2006.

[48]

S. Ilarri, O. Wolfson, and T. Delot, "Collaborative sensing for urban transportation," IEEE Data Engineering Bulletin, vol. 37, no. 4, pp. 3-14, 2014.

[49]

J. Goslinski, M. Nowicki, and P. Skrzypczynski, "Performance comparison of EKF-based algorithms for orientation estimation on Android platform," IEEE Sensors Journal, vol. 15, no. 7, pp. 3781-3792, 2015.

[50]

N. Y. Asabere, "A framework for context-aware recommendation in mobile social learning," Advanced Engineering and Applied Sciences, vol. 3, no. 1, pp. 10-16, 2013.

[51]

N. Y. Asabere, "Towards a viewpoint of Context-Aware Recommender Systems (CARS) and services," International Journal of Computer Science and Telecommunications, vol. 4, no. 1, pp. 10- 29, 2013.

[52]

P. Enge and P. Misra, "Special issue on global positioning system," Proceedings of the IEEE, vol. 87, no. 1, pp. 3-15, 1999.

[53]

B. Hofmann-Wellenhof, H. Lichtenegger, and J. Collins, Global Positioning System--Theory and Practice, Springer-Verlag, 5th edition, 2001.

[54]

E. Thielmann, "Galileo--the European GPS: state of play of the European global navigations satellite system and cooperation with Australia," ANU Centre for European Studies Briefing Paper Series, vol. 5, no. 2, pp. 1-16, 2014.

[55]

J. Ortiz, C. R. Baker, D. Moon, R. Fonseca, and I. Stoica, "Beacon location service: a location service for point-to-point routing in wireless sensor networks," in Proceedings of the 6th International Symposium on Information Processing in Sensor Networks (IPSN '07), pp. 166-175, Cambridge, Mass, USA, April 2007.

Digital Library

[56]

R. Zhang, H. Zhao, and M. A. Labrador, "The Anchor Location Service (ALS) protocol for large-scale wireless sensor networks," in Proceedings of the 1st International Conference on Integrated Internet Ad hoc and Sensor Networks (InterSense '06), May 2006.

Digital Library

[57]

Y. Gu, A. Lo, and I. Niemegeers, "A survey of indoor positioning systems for wireless personal networks," IEEE Communications Surveys and Tutorials, vol. 11, no. 1, pp. 13-32, 2009.

Digital Library

[58]

H. Liu, H. Darabi, P. Banerjee, and J. Liu, "Survey of wireless indoor positioning techniques and systems," IEEE Transactions on Systems, Man and Cybernetics--Part C: Applications and Reviews, vol. 37, no. 6, pp. 1067-1080, 2007.

[59]

G. Sun, J. Chen, W. Guo, and K. J. R. Liu, "Signal processing techniques in network-aided positioning: a survey of state-of-the-art positioning designs," IEEE Signal Processing Magazine, vol. 22, no. 4, pp. 12-23, 2005.

[60]

M. del Carmen Rodríguez-Hernández, S. Ilarri, R. Trillo-Lado, and R. Hermoso, "Location-aware recommendation systems: where we are and where we recommend to go," in Proceedings of the Workshop on Location-Aware Recommendations, Co-Located with the 9th ACM Conference on Recommender Systems (LocalRec-RecSys '15), vol. 1405, pp. 1-8, Vienna, Austria, September 2015, http://ceur-ws.org/.

[61]

M.-H. Kuo, L.-C. Chen, and C.-W. Liang, "Building and evaluating a location-based service recommendation system with a preference adjustment mechanism," Expert Systems with Applications, vol. 36, no. 2, pp. 3543-3554, 2009.

Digital Library

[62]

J. J. Levandoski, M. Sarwat, A. Eldawy, and M. F. Mokbel, "LARS: a location-aware recommender system," in Proceedings of the 28th International Conference on Data Engineering (ICDE '12), pp. 450-461, Washington, DC, USA, April 2012.

[63]

M.-H. Park, J.-H. Hong, and S.-B. Cho, "Location-based recommendation system using Bayesian users preference model in mobile devices," in Ubiquitous Intelligence and Computing, pp. 1130-1139, Springer, 2007.

[64]

N. S. Savage, M. Baranski, N. E. Chavez, and T. Höllerer, "I'm feeling LoCo: a location based context aware recommendation system," in Advances in Location-Based Services, Lecture Notes in Geoinformation and Cartography, pp. 37-54, Springer, Berlin, Germany, 2012.

[65]

M. Conti, J. Willemsen, and B. Crispo, "Providing source location privacy in wireless sensor networks: a survey," IEEE Communications Surveys and Tutorials, vol. 15, no. 3, pp. 1238- 1280, 2013.

[66]

I. H. Witten, E. Frank, and M. A. Hall, Data Mining: Practical Machine Learning Tools and Techniques, Morgan Kaufmann Publishers, San Francisco, Calif, USA, 3rd edition, 2011.

Digital Library

[67]

C. Cortes and V. Vapnik, "Support-vector networks," Machine Learning, vol. 20, no. 3, pp. 273-297, 1995.

[68]

I. Anderson and H. Muller, "Context awareness via GSM signal strength fluctuation," in Proceedings of the 4th International Conference on Pervasive Computing, pp. 27-31, Dublin, Ireland, 2006.

[69]

T. Sohn, A. Varshavsky, A. LaMarca et al., "Mobility detection using everyday GSM traces," in Proceedings of the 8th International Conference on Ubiquitous Computing (UbiComp '06), vol. 4206 of Lecture Notes in Computer Science, pp. 212-224, Springer, 2006.

Digital Library

[70]

J. Friedman, T. Hastie, and R. Tibshirani, "Additive logistic regression: a statistical view of boosting," The Annals of Statistics, vol. 28, no. 2, pp. 337-407, 2000.

[71]

J. Krumm and E. Horvitz, "LOCADIO: inferring motion and location from Wi-Fi signal strengths," in Proceedings of the 1st Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services (MOBIQUITOUS '04), pp. 4- 13, Boston, Mass, USA, August 2004.

[72]

M. Y. Mun, D. Estrin, J. Burke, and M. Hansen, "Parsimonious mobility classification using GSM and WiFi traces," in Proceedings of the 5th Workshop on Hot Topics in Embedded Networked Sensors (HotEmNets '08), pp. 1-5, ACM, June 2008.

[73]

L. Liao, D. Fox, and H. Kautz, "Learning and inferring transportation routines," in Proceedings of the 19th National Conference on Artifical Intelligence (AAAI '04), pp. 348-353, AAAI Press, San Jose, Calif, USA, July 2004.

Digital Library

[74]

L. Liao, D. J. Patterson, D. Fox, and H. Kautz, "Learning and inferring transportation routines," Artificial Intelligence, vol. 171, no. 5-6, pp. 311-331, 2007.

Digital Library

[75]

D. J. Patterson, L. Liao, D. Fox, and H. Kautz, "Inferring high-level behavior from low-level sensors," in UbiComp 2003: Ubiquitous Computing: 5th International Conference, Seattle, WA, USA, October 12-15, 2003. Proceedings, vol. 2864 of Lecture Notes in Computer Science, pp. 73-89, Springer, Berlin, Germany, 2003.

[76]

L. Stenneth, O. Wolfson, P. S. Yu, and B. Xu, "Transportation mode detection using mobile phones and GIS information," in Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (GIS '11), pp. 54-63, ACM, Chicago, Ill, USA, November 2011.

Digital Library

[77]

Y. Zheng, Y. Chen, Q. Li, X. Xie, and W.-Y. Ma, "Understanding transportation modes based on GPS data for web applications," ACM Transactions on the Web, vol. 4, no. 1, pp. 1-36, 2010.

Digital Library

[78]

Y. Zheng, Q. Li, Y. Chen, X. Xie, and W.-Y. Ma, "Understanding mobility based on GPS data," in Proceedings of the 10th International Conference on Ubiquitous Computing (UbiComp '08), pp. 312-321, ACM, Seoul, Republic of Korea, September 2008.

Digital Library

[79]

Y. Zheng, L. Liu, L. Wang, and X. Xie, "Learning transportation mode from raw GPS data for geographic applications on the web," in Proceedings of the 17th International Conference on World Wide Web (WWW '08), pp. 247-256, ACM, Beijing, China, April 2008.

[80]

A. Bolbol, T. Cheng, I. Tsapakis, and J. Haworth, "Inferring hybrid transportation modes from sparse GPS data using a moving window SVM classification," Computers, Environment and Urban Systems, vol. 36, no. 6, pp. 526-537, 2012.

[81]

Google, "Google's activity recognition API," October 2015, https://developers.google.com/android/reference/com/google/android/gms/location/ActivityRecognitionApi.

[82]

S. Hemminki, P. Nurmi, and S. Tarkoma, "Accelerometer-based transportation mode detection on smartphones," in Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems (SenSys '13), pp. 13:1-13:14, ACM, Rome, Italy, November 2013.

[83]

C. Carrion, F. Pereira, R. Ball et al., "Evaluating FMS: a preliminary comparison with a traditional travel survey," in Proceedings of the 93rd Transportation Research Board Annual Meeting, pp. 1-14, Transportation Research Board (TRB), Washington, DC, USA, January 2014.

[84]

C. D. Cottrill, F. C. Pereira, F. Zhao et al., "Future mobility survey," Transportation Research Record, vol. 2354, pp. 59-67, 2013.

[85]

S. Reddy, J. Burke, D. Estrin, M. Hansen, and M. Srivastava, "Determining transportation mode on mobile phones," in Proceedings of the 12th IEEE International Symposium on Wearable Computers (ISWC '08), pp. 25-28, Pittsburgh, Pa, USA, October 2008.

Digital Library

[86]

S. Reddy, M. Mun, J. Burke, D. Estrin, M. Hansen, and M. Srivastava, "Using mobile phones to determine transportation modes," ACM Transactions on Sensor Networks, vol. 6, no. 2, article 13, 2010.

Digital Library

[87]

K. Sankaran, M. Zhu, X. F. Guo, A. L. Ananda, M.C. Chan, and L.-S. Peh, "Using mobile phone barometer for low-power transportation context detection," in Proceedings of the 12th ACM Conference on Embedded Networked Sensor Systems (SenSys '14), pp. 191-205, Memphis, Tenn, USA, November 2014.

[88]

M.-C. Yu, T. Yu, S.-C. Wang, C.-J. Lin, and E. Y. Chang, "Big data small footprint: the design of a low-power classifier for detecting transportation modes," Proceedings of the VLDB Endowment, vol. 7, no. 13, pp. 1429-1440, 2014.

Digital Library

[89]

J. D. Lafferty, A. McCallum, and F. C. N. Pereira, "Conditional random fields: probabilistic models for segmenting and labeling sequence data," in Proceedings of the 18th International Conference on Machine Learning (ICML '01), pp. 282-289, Morgan Kaufmann Publishers, Williamstown, Mass, USA, June-July 2001.

Digital Library

[90]

L. S. Chen, T. S. Huang, T. Miyasato, and R. Nakatsu, "Multimodal human emotion/expression recognition," in Proceedings of the 3rd IEEE International Conference on Automatic Face and Gesture Recognition, pp. 366-371, IEEE, Nara, Japan, April 1998.

[91]

F. Canento, A. Fred, H. Silva, H. Gamboa, and A. Lourenço, "Multimodal biosignal sensor data handling for emotion recognition," in Proceedings of the 10th IEEE SENSORS Conference (SENSORS '11), pp. 647-650, Limerick, Ireland, October 2011.

[92]

A. Haag, S. Goronzy, P. Schaich, and J. Williams, "Emotion recognition using bio-sensors: first steps towards an automatic system," in Affective Dialogue Systems, vol. 3068 of Lecture Notes in Computer Science, pp. 36-48, Springer, Berlin, Germany, 2004.

[93]

R. W. Picard, E. Vyzas, and J. Healey, "Toward machine emotional intelligence: Analysis of affective physiological state," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 23, no. 10, pp. 1175-1191, 2001.

Digital Library

[94]

H. Wang, H. Prendinger, and T. Igarashi, "Communicating emotions in online chat using physiological sensors and animated text," in Proceedings of the Extended Abstracts on Human Factors in Computing Systems, pp. 1171-1174, ACM, Vienna, Austria, April 2004.

[95]

A. Kapoor, W. Burleson, and R. W. Picard, "Automatic prediction of frustration," International Journal of Human-Computer Studies, vol. 65, no. 8, pp. 724-736, 2007.

Digital Library

[96]

R. B. Hossain, M. Sadat, and H. Mahmud, "Recognition of human affection in Smartphone perspective based on accelerometer and user's sitting position," in Proceedings of the 17th International Conference on Computer and Information Technology (ICCIT '14), pp. 87-91, Dhaka, Bangladesh, December 2014.

[97]

D. Amelynck, M. Grachten, L. V. Noorden, and M. Leman, "Toward e-motion-based music retrieval a study of affective gesture recognition," IEEE Transactions on Affective Computing, vol. 3, no. 2, pp. 250-259, 2012.

Digital Library

[98]

Y. Ma, B. Xu, Y. Bai, G. Sun, and R. Zhu, "Daily mood assessment based on mobile phone sensing," in Proceedings of the 9th International Workshop on Wearable and Implantable Body Sensor Networks (BSN '12), pp. 142-147, IEEE, London, UK, May 2012.

[99]

A. Kapur, A. Kapur, N. Virji-Babul, G. Tzanetakis, and P. F. Driessen, "Gesture-based affective computing on motion capture data," in Affective Computing and Intelligent Interaction, vol. 3784 of Lecture Notes in Computer Science, pp. 1-7, Springer, 2005.

Digital Library

[100]

Y. Rizk, M. Safieddine, D. Matchoulian, and M. Awad, "Face2Mus: a facial emotion based Internet radio tuner application," in Proceedings of the 17th IEEE Mediterranean Electrotechnical Conference (MELECON '14), pp. 257-261, IEEE, Beirut, Lebanon, April 2014.

[101]

A. van't Klooster and N. Collins, "In a state: live emotion detection and visualisation for music performance," in Proceedings of the 14th International Conference on New Interfaces for Musical Expression, pp. 545-548, Goldsmiths, University of London, London, United Kingdom, 2014.

[102]

R. Likamwa, Y. Liu, N. D. Lane, and L. Zhong, "MoodScope: building a mood sensor from smartphone usage patterns," in Proceedings of the 11th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys '13), pp. 389-402, ACM, Taipei, Taiwan, June 2013.

[103]

C. Ma, H. Prendinger, and M. Ishizuka, "Emotion estimation and reasoning based on affective textual interaction," in Affective Computing and Intelligent Interaction, vol. 3784 of Lecture Notes in Computer Science, pp. 622-628, Springer, 2005.

Digital Library

[104]

M. A. M. Shaikh, P. Helmut, and M. Ishizuka, "A cognitively based approach to affect sensing from text," in Proceedings of the International Conference on Intelligent User Interfaces (IUI '06), pp. 303-305, ACM, Sydney, Australia, February 2005.

[105]

R.W. Picard, Affective Computing, MIT Press, 2000.

Digital Library

[106]

R. W. Picard, "Affective computing: challenges," International Journal of Human Computer Studies, vol. 59, no. 1-2, pp. 55-64, 2003.

[107]

R. A. Calvo and S. D'Mello, "Affect detection: An interdisciplinary review of models, methods, and their applications," IEEE Transactions on Affective Computing, vol. 1, no. 1, pp. 18-37, 2010.

Digital Library

[108]

I. Arroyo, D. G. Cooper, W. Burleson, B. P. Woolf, K. Muldner, and R. Christopherson, "Emotion sensors go to school," in Proceedings of the Conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling, vol. 200, pp. 17-24, IOS Press, 2009.

Digital Library

[109]

J. Healey, L. Nachman, S. Subramanian, J. Shahabdeen, and M. Morris, "Out of the lab and into the fray: towards modeling emotion in everyday life," in Pervasive Computing, vol. 6030 of Lecture Notes in Computer Science, pp. 156-173, Springer, 2010.

Digital Library

[110]

B. Liu and L. Zhang, "A survey of opinion mining and sentiment analysis," in Mining Text Data, pp. 415-463, Springer, 2012.

[111]

B. Pang and L. Lee, "Opinion mining and sentiment analysis," Foundations and Trends in Information Retrieval, vol. 2, no. 1-2, pp. 1-135, 2008.

Digital Library

[112]

B. Coifman and S. Kim, "Speed estimation and length based vehicle classification from freeway single-loop detectors," Transportation Research Part C: Emerging Technologies, vol. 17, no. 4, pp. 349-364, 2009.

[113]

Y.-K. Ki and D.-K. Baik, "Model for accurate speed measurement using double-loop detectors," IEEE Transactions on Vehicular Technology, vol. 55, no. 4, pp. 1094-1101, 2006.

[114]

W.-H. Lin, J. Dahlgren, and H. Huo, "An enhancement to speed estimation using single loop detectors," in Proceedings of the IEEE International Conference on Intelligent Transportation Systems (ITS '03), vol. 1, pp. 417-422, Shanghai, China, October 2003.

[115]

D. J. Dailey, F. W. Cathey, and S. Pumrin, "An algorithm to estimate mean traffic speed using uncalibrated cameras," IEEE Transactions on Intelligent Transportation Systems, vol. 1, no. 2, pp. 98-107, 2000.

Digital Library

[116]

T. N. Schoepflin and D. J. Dailey, "Dynamic camera calibration of roadside traffic management cameras for vehicle speed estimation," IEEE Transactions on Intelligent Transportation Systems, vol. 4, no. 2, pp. 90-98, 2003.

Digital Library

[117]

T. Evan and C. Jing, "Vehicular traffic density estimation via statistical methods with automated state learning," in Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS '07), pp. 164-169, IEEE, London, UK, September 2007.

Digital Library

[118]

S. Coleri, S. Y. Cheung, and P. Varaiya, "Sensor networks for monitoring traffic," 2004, http://wnl.ku.edu.tr/uploads/1/0/5/9/10590997/trafficsensor_allerton2004.pdf.

[119]

M. Karpinski, A. Senart, and V. Cahill, "Sensor networks for smart roads," in Proceedings of the 4th Annual IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom '06), pp. 306-310, IEEE, Pisa, Italy, March 2006.

[120]

M. Collotta, G. Pau, V. M. Salerno, and G. Scatá, "Wireless sensor networks to improve road monitoring," in Wireless Sensor Networks--Technology and Applications, chapter 15, pp. 323-346, InTech, Rijeka, Croatia, 2012.

[121]

F. Losilla, A. J. Garcia-Sanchez, F. Garcia-Sanchez, and J. Garcia-Haro, "On the role of wireless sensor networks in intelligent transportation systems," in Proceedings of the 14th International Conference on Transparent Optical Networks (ICTON '12), pp. 1-4, IEEE, Coventry, UK, July 2012.

[122]

M. Litzenberger, A. N. Belbachir, N. Donath et al., "Estimation of vehicle speed based on asynchronous data from a silicon retina optical sensor," in Proceedings of the IEEE Intelligent Transportation Systems Conference (ITSC '06), pp. 653-658, IEEE, Toronto, Canada, September 2006.

[123]

D. Bauer, A. N. Belbachir, N. Donath et al., "Embedded vehicle speed estimation system using an asynchronous temporal contrast vision sensor," EURASIP Journal on Embedded Systems, vol. 2007, Article ID 082174, 2007.

[124]

SFMTA, "SFpark," San Francisco Municipal Transportation Agency (SFMTA), October 2015, http://sfpark.org/.

[125]

B. Fleming, "Sensors? A forecast [automotive electronics]," IEEE Vehicular Technology Magazine, vol. 8, no. 3, pp. 4-12, 2013.

[126]

Z. Li, Y. Zhu, H. Zhu, and M. Li, "Compressive sensing approach to urban traffic sensing," in Proceedings of the 31st International Conference on Distributed Computing Systems (ICDCS '11), pp. 889-898, IEEE, Minneapolis, Minn, USA, July 2011.

Digital Library

[127]

N. Zhu, Y. Liu, S. Ma, and Z. He, "Mobile traffic sensor routing in dynamic transportation systems," IEEE Transactions on Intelligent Transportation Systems, vol. 15, no. 5, pp. 2273- 2285, 2014.

[128]

R. Du, C. Chen, B. Yang, N. Lu, X. Guan, and X. Shen, "Effective urban traffic monitoring by vehicular sensor networks," IEEE Transactions on Vehicular Technology, vol. 64, no. 1, pp. 273-286, 2015.

[129]

B. Hull, V. Bychkovsky, Y. Zhang et al., "CarTel: a distributed mobile sensor computing system," in Proceedings of the 4th International Conference on Embedded Networked Sensor Systems (SenSys '06), pp. 125-138, ACM, Boulder, Colo, USA, November 2006.

Digital Library

[130]

J. A. Sanguesa, M. Fogue, P. Garrido et al., "An infrastructureless approach to estimate vehicular density in urban environments," Sensors, vol. 13, no. 2, pp. 2399-2418, 2013.

[131]

A. Thiagarajan, L. Ravindranath, K. LaCurts et al., "VTrack: accurate, energy-aware road traffic delay estimation using mobile phones," in Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems (SenSys '09), pp. 85-98, ACM, Berkeley, Calif, USA, November 2009.

Digital Library

[132]

J. Barrachina, J. A. Sanguesa, M. Fogue et al., "V2X-d: a vehicular density estimation system that combines V2V and V2I communications," in Proceedings of the 6th IFIP/IEEE Wireless Days Conference (WD '13), pp. 1-6, Valencia, Spain, November 2013.

[133]

B. Pan, Y. Zheng, D. Wilkie, and C. Shahabi, "Crowd sensing of traffic anomalies based on human mobility and social media," in Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (GIS '13), pp. 334-343, ACM, Orlando, Fla, USA, November 2013.

Digital Library

[134]

R. Varriale, S. Ma, and O. Wolfson, "VTIS: a volunteered travelers information system," in Proceedings of the 6th ACM SIGSPATIAL International Workshop on Computational Transportation Science (IWCTS '13), pp. 13-18, ACM, Orlando, Fla, USA, November 2013.

[135]

U. Lee, B. Zhou, M. Gerla, E. Magistretti, P. Bellavista, and A. Corradi, "Mobeyes: smart mobs for urban monitoring with a vehicular sensor network," IEEE Wireless Communications, vol. 13, no. 5, pp. 52-57, 2006.

Digital Library

[136]

O. Urra, S. Ilarri, E. Mena, and T. Delot, "7th international conference on practical applications of agents and multi-agent systems (PAAMS 2009), volume 55 of the series advances in intelligent and soft computing pp 557-566," in Using Hitchhiker Mobile Agents for Environment Monitoring, vol. 55 of Advances in Intelligent and Soft Computing, pp. 557-566, Springer, Berlin, Germany, 2009.

[137]

X. Xu, P. Zhang, and L. Zhang, "Gotcha: a mobile urban sensing system," in Proceedings of the 12th ACM Conference on Embedded Networked Sensor Systems (SenSys '14), pp. 316-317, ACM, Memphis, Tenn, USA, November 2014.

[138]

K. D. Zoysa and C. Keppitiyagama, "BusNet--a sensor network built over a public transport system," in Proceedings of the 4th European Conference on Wireless Sensor Networks (EWSN '07), Parallel and Distributed Systems Report Series, Report Number PDS-2007-001, pp. 9-10, Parallel and Distributed Systems Section, Delft University of Technology, Delft, The Netherlands, January 2007.

[139]

B. Hoh, T. Yan, D. Ganesan, K. Tracton, T. Iwuchukwu, and J.-S. Lee, "TruCentive: a game-theoretic incentive platform for trustworthy mobile crowdsourcing parking services," in Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems (ITSC '12), pp. 160-166, IEEE, Anchorage, Alaska, USA, September 2012.

[140]

H. Hartenstein and K. P. Laberteaux, "A tutorial survey on vehicular ad hoc networks," IEEE Communications Magazine, vol. 46, no. 6, pp. 164-171, 2008.

Digital Library

[141]

S. Olariu and M. C. Weigle, Eds., Vehicular Networks: From Theory to Practice, CRC Press, 2009.

[142]

S. Djahel, R. Doolan, G.-M. Muntean, and J. Murphy, "A communications-oriented perspective on traffic management systems for smart cities: challenges and innovative approaches," IEEE Communications Surveys & Tutorials, vol. 17, no. 1, pp. 125- 151, 2015.

Digital Library

[143]

K. De Zoysa, C. Keppitiyagama, G. P. Seneviratne, and W. W. A. T. Shihan, "A public transport system based sensor network for road surface condition monitoring," in Proceedings of the Workshop on Networked Systems for Developing Regions (NSDR '07), pp. 9:1-9:6, ACM, Kyoto, Japan, August 2007.

[144]

X. Li, H. Huang, X. Yu, W. Shu, M. Li, and M.-Y. Wu, "A new paradigm for urban surveillance with vehicular sensor networks," Computer Communications, vol. 34, no. 10, pp. 1159- 1168, 2011.

Digital Library

[145]

O. Wolfson and B. Xu, "A new paradigm for querying blobs in vehicular networks," IEEE Multimedia, vol. 21, no. 1, pp. 48-58, 2014.

[146]

M. Kutila, M. Jokela, J. Burgoa, A. Barsi, T. Lovas, and S. Zangherati, "Optical roadstate monitoring for infrastructure-side co-operative traffic safety systems," in Proceedings of the IEEE Intelligent Vehicles Symposium (IV '08), pp. 620-625, IEEE, Eindhoven, The Netherlands, June 2008.

[147]

A. Discant, A. Rogozan, C. Rusu, and A. Bensrhair, "Sensors for obstacle detection--a survey," in Proceedings of the 30th International Spring Seminar on Electronics Technology (ISSE '07), pp. 100-105, IEEE, Cluj-Napoca, Romania, May 2007.

[148]

R. Labayrade and D. Aubert, "In-vehicle obstacles detection and characterization by stereovision," in Proceedings of the 1st International Workshop on In-Vehicle Cognitive Computer Vision Systems (IVC2VS '03), pp. 13-19, Graz, Austria, 2003.

[149]

K.-C. Lan and W.-Y. Shih, "An intelligent driver location system for smart parking," Expert Systems with Applications, vol. 41, no. 5, pp. 2443-2456, 2014.

Digital Library

[150]

S. Ma, O. Wolfson, and B. Xu, "UPDetector: sensing parking/ unparking activities using smartphones," in Proceedings of the 7th SIGSPATIAL International Workshop on Computational Transportation Science (IWCTS '14), pp. 76-85, ACM, Dallas/ Fort Worth, Tex, USA, November 2014.

[151]

A. Nandugudi, T. Ki, C. Nuessle, and G. Challen, "PocketParker: pocketsourcing parking lot availability," in Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp '14), pp. 963-973, ACM, Seattle, Wash, USA, September 2014.

[152]

S. Nawaz, C. Efstratiou, and C. Mascolo, "Parksense: a smart-phone based sensing system for on-street parking," in Proceedings of the 19th Annual International Conference on Mobile Computing and Networking (MobiCom '13), pp. 75-86, ACM, Miami, Fla, USA, October 2013.

[153]

B. Xu, O. Wolfson, J. Yang, L. Stenneth, P. S. Yu, and P. C. Nelson, "Real-time street parking availability estimation," in Proceedings of the 14th International Conference on Mobile Data Management (MDM '13), vol. 1, pp. 16-25, Milan, Italy, June 2013.

[154]

S. Mathur, T. Jin, N. Kasturirangan et al., "ParkNet: drive-by sensing of road-side parking statistics," in Proceedings of the 8th Annual International Conference on Mobile Systems, Applications and Services (MobiSys '10), pp. 123-136, ACM, San Francisco, Calif, USA, June 2010.

[155]

W.-J. Park, B.-S. Kim, D.-E. Seo, D.-S. Kim, and K.-H. Lee, "Parking space detection using ultrasonic sensor in parking assistance system," in Proceedings of the IEEE Intelligent Vehicles Symposium (IV '08), pp. 1039-1044, IEEE, Eindhoven, The Netherlands, June 2008.

[156]

S. Abdelhamid, H. S. Hassanein, and G. Takahara, "Vehicle as a mobile sensor," Procedia Computer Science, vol. 34, pp. 286-295, 2014, Proceedings of the 9th International Conference on Future Networks and Communications (FNC '14)/The 11th International Conference on Mobile Systems and Pervasive Computing (MobiSPC '14)/Affiliated Workshops.

[157]

W. J. Fleming, "Overview of automotive sensors," IEEE Sensors Journal, vol. 1, no. 4, pp. 296-308, 2001.

[158]

F. Niewels, S. Knoop, R. Jordan, and T. Michalke, "In-vehicle sensors," in Encyclopedia of Automotive Engineering, pp. 1-27, John Wiley & Sons, 2014.

[159]

S.-W. Lee and K. Mase, "Activity and location recognition using wearable sensors," IEEE Pervasive Computing, vol. 1, no. 3, pp. 24-32, 2002.

Digital Library

[160]

N. Kern, B. Schiele, and A. Schmidt, "Multi-sensor activity context detection for wearable computing," in Ambient Intelligence, E. Aarts, R. W. Collier, E. van Loenen, and B. de Ruyter, Eds., vol. 2875 of Lecture Notes in Computer Science, pp. 220-232, Springer, Berlin, Germany, 2003.

[161]

L. Bao and S. S. Intille, "Activity recognition from user-annotated acceleration data," in Pervasive Computing, A. Ferscha and F. Mattern, Eds., vol. 3001 of Lecture Notes in Computer Science, pp. 1-17, Springer, 2004.

[162]

C. Randell and H. Muller, "Context awareness by analysing accelerometer data," in Proceedings of the 4th Intenational Symposium on Wearable Computers (ISWC '00), pp. 175-176, IEEE, October 2000.

[163]

X. Bian, G. D. Abowd, and J. M. Rehg, "Using sound source localization in a home environment," in Pervasive Computing, vol. 3468 of Lecture Notes in Computer Science, pp. 19-36, Springer, Berlin, Germany, 2005.

Digital Library

[164]

E. M. Tapia, S. S. Intille, and K. Larson, "Activity recognition in the home using simple and ubiquitous sensors," in Pervasive Computing, A. Ferscha and F. Mattern, Eds., vol. 3001 of Lecture Notes in Computer Science, pp. 158-175, Springer, Berlin, Germany, 2004.

[165]

L. Liao, D. Fox, and H. Kautz, "Location-based activity recognition using relational Markov networks," in Proceedings of the 19th International Joint Conference on Artificial Intelligence (IJCAI '05), pp. 773-778, Morgan Kaufmann, August 2005.

[166]

L. Liao, D. Fox, and H. Kautz, "Location-based activity recognition," in Advances in Neural Information Processing Systems (NIPS), vol. 18, pp. 787-794, Neural Information Processing Systems Foundation, 2006.

[167]

L. Liao, D. Fox, and H. Kautz, "Hierarchical conditional random fields for GPS-based activity recognition," in Robotics Research, vol. 28 of Springer Tracts in Advanced Robotics, pp. 487-506, Springer, 2007.

[168]

J. Pärkkä, M. Ermes, P. Korpipää, J. Mäntyjärvi, J. Peltola, and I. Korhonen, "Activity classification using realistic data from wearable sensors," IEEE Transactions on Information Technology in Biomedicine, vol. 10, no. 1, pp. 119-128, 2006.

Digital Library

[169]

H. Martín, A. M. Bernardos, J. Iglesias, and J. R. Casar, "Activity logging using lightweight classification techniques in mobile devices," Personal and Ubiquitous Computing, vol. 17, no. 4, pp. 675-695, 2013.

Digital Library

[170]

M. Ermes, J. Pärkkä, J. Mäntyjärvi, and I. Korhonen, "Detection of daily activities and sports with wearable sensors in controlled and uncontrolled conditions," IEEE Transactions on Information Technology in Biomedicine, vol. 12, no. 1, pp. 20-26, 2008.

Digital Library

[171]

A. M. Khan, A. Tufail, A. M. Khattak, and T.H. Laine, "Activity recognition on smartphones via sensor-fusion and KDA-based SVMs," International Journal of Distributed Sensor Networks, vol. 2014, Article ID 503291, 14 pages, 2014.

[172]

Q. V. Vo, M. T. Hoang, and D. Choi, "Personalization in mobile activity recognition system using K-medoids clustering algorithm," International Journal of Distributed Sensor Networks, vol. 2013, Article ID 315841, 12 pages, 2013.

[173]

J. Favela, M. Tentori, L. A. Castro, V. M. Gonzalez, E. B. Moran, and A. I. Martínez-García, "Activity recognition for context-aware hospital applications: issues and opportunities for the deployment of pervasive networks,"Mobile Networks and Applications, vol. 12, no. 2-3, pp. 155-171, 2007.

Digital Library

[174]

J. R. Smith, K. P. Fishkin, B. Jiang et al., "RFID-based techniques for human-activity detection,"Communications of the ACM, vol. 48, no. 9, pp. 39-44, 2005.

Digital Library

[175]

X. Hong, C. Nugent, M. Mulvenna, S. McClean, B. Scotney, and S. Devlin, "Evidential fusion of sensor data for activity recognition in smart homes," Pervasive and Mobile Computing, vol. 5, no. 3, pp. 236-252, 2009.

Digital Library

[176]

T. Kleinberger, M. Becker, E. Ras, A. Holzinger, and P. Müller, "Ambient intelligence in assisted living: enable elderly people to handle future interfaces," in Universal Access in Human-Computer Interaction. Ambient Interaction, C. Stephanidis, Ed., vol. 4555 of Lecture Notes in Computer Science, pp. 103-112, Springer, Berlin, Germany, 2007.

Digital Library

[177]

D. Gavalas and M. Kenteris, "A web-based pervasive recommendation system for mobile tourist guides," Personal and Ubiquitous Computing, vol. 15, no. 7, pp. 759-770, 2011.

Digital Library

[178]

M. Kenteris, D. Gavalas, and A. Mpitziopoulos, "A mobile tourism recommender system," in Proceedings of the 15th IEEE Symposium on Computers and Communications (ISCC '10), pp. 840-845, IEEE, Riccione, Italy, June 2010.

[179]

M. V. Setten, S. Pokraev, and J. Koolwaaij, "Context-aware recommendations in the mobile tourist application COMPASS," in Adaptive Hypermedia and Adaptive Web-Based Systems, vol. 3137 of Lecture Notes in Computer Science, pp. 235-244, Springer, 2004.

[180]

V. W. Zheng, Y. Zheng, X. Xie, and Q. Yang, "Collaborative location and activity recommendations with GPS history data," in Proceedings of the 19th International World Wide Web Conference( WWW'10), pp. 1029-1038, ACM, Raleigh, NC, USA, April 2010.

[181]

G. D. Abowd, C. G. Atkeson, J. Hong, S. Long, R. Kooper, and M. Pinkerton, "Cyberguide: a mobile context-aware tour guide," Wireless Networks, vol. 3, no. 5, pp. 421-433, 1997.

Digital Library

[182]

X. Lu, C. Wang, J.-M. Yang, Y. Pang, and L. Zhang, "Photo2Trip: generating travel routes from geo-tagged photos for trip planning," in Proceedings of the 18th ACM International Conference on Multimedia (MM '10), pp. 143-152, ACM, Firenze, Italy, October 2010.

[183]

I. Amendola, F. Cena, L. Console et al., "UbiquiTO: a multidevice adaptive guide," in Mobile Human-Computer Interaction (MobileHCI), vol. 3160 of Lecture Notes in Computer Science, pp. 409-414, Springer, 2004.

[184]

R. P. Biuk-Aghai, S. Fong, and Y.-W. Si, "Design of a recommender system for mobile tourism multimedia selection," in Proceedings of the 2nd International Conference on Internet Multimedia Services Architecture and Applications (IMSAA '08), pp. 1-6, IEEE, Bangalore, India, December 2008.

[185]

T. Horozov, N. Narasimhan, and V. Vasudevan, "Using location for personalized POI recommendations in mobile environments," in Proceedings of the International Symposium on Applications and the Internet (SAINT '06), pp. 124-129, IEEE, Phoenix, Ariz, USA, January 2006.

[186]

A. Pashtan, R. Blattler, A. Andi, and P. Scheuermann, "CATIS: a context-aware tourist information system," in Proceedings of the 4th International Workshop of Mobile Computing, pp. 1-7, Rostock, Germany, June 2003.

[187]

C.-C. Yu and H.-P. Chang, "Personalized location-based recommendation services for tour planning in mobile tourism applications," in E-Commerce and Web Technologies, vol. 5692 of Lecture Notes in Computer Science, pp. 38-49, Springer, Berlin, Germany, 2009.

Digital Library

[188]

D. Gavalas, C. Konstantopoulos, K. Mastakas, and G. Pantziou, "Mobile recommender systems in tourism," Journal of Network and Computer Applications, vol. 39, no. 1, pp. 319-333, 2014.

[189]

W. Schwinger, C. Grün, B. Pröll, W. Retschitzegger, and A. Schauer-Huber, "Context-awareness in mobile tourism guides--a comprehensive survey," Tech. Rep., Johannes Kepler University Linz, Linz, Austria, 2005.

[190]

F. Buttussi and L. Chittaro, "MOPET: a context-aware and user-adaptive wearable system for fitness training," Artificial Intelligence in Medicine, vol. 42, no. 2, pp. 153-163, 2008.

Digital Library

[191]

H. K. Pung, T. Gu, W. Xue et al., "Context-aware middleware for pervasive elderly homecare," IEEE Journal on Selected Areas in Communications, vol. 27, no. 4, pp. 510-524, 2009.

Digital Library

[192]

P. Rashidi and A. Mihailidis, "A survey on ambient-assisted living tools for older adults," IEEE Journal of Biomedical and Health Informatics, vol. 17, no. 3, pp. 579-590, 2013.

[193]

Y. Cui and S. Bull, "Context and learner modelling for the mobile foreign language learner," System, vol. 33, no. 2, pp. 353- 367, 2005.

[194]

Z. Yu, Y. Nakamura, S. Jang, S. Kajita, and K. Mase, "Ontology-based semantic recommendation for context-aware e-learning," in Ubiquitous Intelligence and Computing, vol. 4611 of Lecture Notes in Computer Science, pp. 898-907, Springer, Berlin, Germany, 2007.

Digital Library

[195]

N. Manouselis, H. Drachsler, R. Vuorikari, H. Hummel, and R. Koper, "Recommender systems in technology enhanced learning," in Recommender Systems Handbook, pp. 387-415, Springer, 2011.

[196]

K. Verbert, N. Manouselis, X. Ochoa et al., "Context-aware recommender systems for learning: a survey and future challenges," IEEE Transactions on Learning Technologies, vol. 5, no. 4, pp. 318-335, 2012.

Digital Library

[197]

B. D. Ziebart, A. L. Maas, A. K. Dey, and J. A. Bagnell, "Navigate like a cabbie: probabilistic reasoning from observed context-aware behavior," in Proceedings of the 10th International Conference on Ubiquitous Computing (UbiComp '08), pp. 322- 331, ACM, September 2008.

[198]

M. Caliskan, D. Graupner, and M. Mauve, "Decentralized discovery of free parking places," in Proceedings of the 3rd ACM International Workshop on Vehicular Ad Hoc Networks (VANET '06), pp. 30-39, ACM, Los Angeles, Calif, USA, September 2006.

Digital Library

[199]

S. Ilarri, T. Delot, and R. Trillo, "A data management perspective on vehicular networks," IEEE Communications Surveys & Tutorials, 2015.

[200]

T. Delot, N. Cenerario, and S. Ilarri, "Vehicular event sharing with a mobile peer-to-peer architecture," Transportation Research Part C: Emerging Technologies, vol. 18, no. 4, pp. 584- 598, 2010.

[201]

T. Delot, S. Ilarri, N. Cenerario, and T. Hien, "Event sharing in vehicular networks using geographic vectors and maps," Mobile Information Systems, vol. 7, no. 1, pp. 21-44, 2011.

Digital Library

[202]

S. Kurkovsky and K. Harihar, "Using ubiquitous computing in interactive mobile marketing," Personal and Ubiquitous Computing, vol. 10, no. 4, pp. 227-240, 2006.

Digital Library

[203]

W. Woerndl, C. Schueller, and R. Wojtech, "A hybrid recommender system for context-aware recommendations of mobile applications," in Workshops in Conjunction with the 23rd International Conference on Data Engineering (ICDE '07), pp. 871- 878, IEEE, Istanbul, Turkey, April 2007.

[204]

B. Yan and G. Chen, "AppJoy: personalized mobile application discovery," in Proceedings of the 9th International Conference on Mobile Systems, Applications, and Services (MobiSys '11), pp. 113- 126, ACM, Bethesda, Md, USA, June-July 2011.

Digital Library

[205]

Z. Huang, W. Chung, T.-H. Ong, and H. Chen, "A graph-based recommender system for digital library," in Proceedings of the 2nd ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL '02), pp. 65-73, ACM, July 2002.

[206]

R. Torres, S. M. McNee, M. Abel, J. A. Konstan, and J. Riedl, "Enhancing digital libraries with TechLens," in Proceedings of the 4th ACM/IEEE Joint Conference on Digital Libraries (JCDL '04), pp. 228-236, IEEE, Tucson, Ariz, USA, June 2004.

[207]

A. F. Smeaton and J. Callan, "Personalisation and recommender systems in digital libraries," International Journal on Digital Libraries, vol. 5, no. 4, pp. 299-308, 2005.

Digital Library

[208]

X. Wang, D. Rosenblum, and Y. Wang, "Context-aware mobile music recommendation for daily activities," in Proceedings of the 20th ACM International Conference on Multimedia (MM '12), pp. 99-108, Nara, Japan, November 2012.

[209]

D. Gallego and G. Huecas, "An empirical case of a context-aware mobile recommender system in a banking environment," in Proceedings of the 3rd FTRA International Conference on Mobile, Ubiquitous, and Intelligent Computing (MUSIC '12), pp. 13-20, IEEE, Vancouver, Canada, June 2012.

Digital Library

[210]

C. C. Vo, T. Torabi, and S. W. Loke, "Towards context-aware task recommendation," in Proceedings of the Joint Conferences on Pervasive Computing (JCPC '09), pp. 289-292, Taipei, Taiwan, December 2009.

[211]

G. Tumas and F. Ricci, "Personalized mobile city transport advisory system," in Information and Communication Technologies in Tourism 2009: Proceedings of the International Conference in Amsterdam, The Netherlands, 2009, pp. 173-183, Springer, Vienna, Austria, 2009.

[212]

J. M. Noguera, M. J. Barranco, R. J. Segura, and L. Martínez, "A mobile 3D-GIS hybrid recommender system for tourism," Information Sciences, vol. 215, pp. 37-52, 2012.

Digital Library

[213]

A. Hinze, A. Voisard, and G. Buchanan, "Tip: personalizing information delivery in a tourist information system," Information Technology & Tourism, vol. 11, no. 3, pp. 247-264, 2009.

[214]

J. Yuan, Y. Zheng, and X. Xie, "Discovering regions of different functions in a city using human mobility and POIs," in Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD '12), pp. 186-194, Beijing, China, August 2012.

Digital Library

[215]

M. J. Barranco, J. M. Noguera, J. Castro, and L. Martínez, "A context-aware mobile recommender system based on location and trajectory," in Management Intelligent Systems, vol. 171 of Advances in Intelligent Systems and Computing, pp. 153-162, Springer, Berlin, Germany, 2012.

[216]

K. Meehan, T. Lunney, K. Curran, and A. McCaughey, "Context-aware intelligent recommendation system for tourism," in Proceedings of the IEEE International Conference on Pervasive Computing and Communications (PerCom '13), pp. 328-331, IEEE, San Diego, Calif, USA, March 2013.

[217]

W.-S. Yang and S.-Y. Hwang, "ITravel: a recommender system in mobile peer-to-peer environment," Journal of Systems and Software, vol. 86, no. 1, pp. 12-20, 2013.

Digital Library

[218]

L. Baltrunas, B. Ludwig, S. Peer, and F. Ricci, "Context relevance assessment and exploitation in mobile recommender systems," Personal and Ubiquitous Computing, vol. 16, no. 5, pp. 507-526, 2012.

Digital Library

[219]

V. Bellotti, B. Begole, E. H. Chi et al., "Activity-based serendipitous recommendations with the magitti mobile leisure guide," in Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '08), pp. 1157-1166, ACM, Florence, Italy, April 2008.

[220]

T. De Pessemier, S. Dooms, and L. Martens, "Context-aware recommendations through context and activity recognition in a mobile environment," Multimedia Tools and Applications, vol. 72, no. 3, pp. 2925-2948, 2014.

Digital Library

[221]

H.-W. Tung and V.-W. Soo, "A personalized restaurant recommender agent for mobile e-service," in Proceedings of the IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE '04), pp. 259-262, March 2004.

Digital Library

[222]

I. Liiv, T. Tammet, T. Ruotsalo, and A. Kuusik, "Personalized context-aware recommendations in SMARTMUSEUM: combining semantics with statistics," in Proceedings of the 3rd International Conference on Advances in Semantic Processing (SEMAPRO '09), pp. 50-55, Sliema, Malta, October 2009.

Digital Library

[223]

H. Alemdar and C. Ersoy, "Wireless sensor networks for healthcare: a survey," Computer Networks, vol. 54, no. 15, pp. 2688-2710, 2010.

Digital Library

[224]

G. Fenza, D. Furno, and V. Loia, "Hybrid approach for context-aware service discovery in healthcare domain," Journal of Computer and System Sciences, vol. 78, no. 4, pp. 1232-1247, 2012.

Digital Library

[225]

P. Lamber, A. Girardello, F. Ricci, and M. Mitterer, "MobiDay: a personalized context-aware mobile service for day hospital workflow support," in Proceedings of the 4th AIME International Workshop on Personalization for e-Health, pp. 15-19, Verona, Italy, July 2009.

[226]

Y. Lin, J. Jessurun, B. de Vries, and H. Timmermans, "Motivate: towards context-aware recommendation mobile system for healthy living," in Proceedings of the 5th International Conference on Pervasive Computing Technologies for Healthcare (Pervasive-Health '11), pp. 250-253, IEEE, Dublin, Ireland, May 2011.

[227]

S. Nirjon, R. F. Dickerson, Q. Li et al., "MusicalHeart: a hearty way of listening to music," in Proceedings of the 10th ACM Conference on Embedded Networked Sensor Systems (SenSys '12), pp. 43-56, ACM, Toronto, Canada, November 2012.

[228]

S.-L. Wang and C.-Y. Wu, "Application of context-aware and personalized recommendation to implement an adaptive ubiquitous learning system," Expert Systems with Applications, vol. 38, no. 9, pp. 10831-10838, 2011.

Digital Library

[229]

M. Derntl and K. A. Hummel, "Modeling context-aware e-learning scenarios," in Proceedings of the 3rd IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom '05), pp. 337-344, IEEE, March 2005.

[230]

P. Lonsdale, C. Baber, M. Sharples et al., "Context awareness for MOBIlearn: creating an en-gaging learning experience in an art museum," in Mobile Learning Anytime Everywhere, pp. 115-118, 2004.

[231]

H. Ogata and Y. Yano, "Context-aware support for computer-supported ubiquitous learning," in Proceedings of the 2nd IEEE International Workshop on Wireless and Mobile Technologies in Education, pp. 27-34, IEEE, Jungli, Taiwan, March 2004.

[232]

D.-R. Chen, M.-Y. Chen, T.-C. Huang, and W.-P. Hsu, "Developing a mobile learning system in augmented reality context," International Journal of Distributed Sensor Networks, vol. 2013, Article ID 594627, 7 pages, 2013.

[233]

M. M. El-Bishouty, H. Ogata, and Y. Yano, "PERKAM: personalized knowledge awareness map for computer supported ubiquitous learning," Educational Technology & Society, vol. 10, no. 3, pp. 122-134, 2007.

[234]

J. Yau and M. Joy, "A context-aware and adaptive learning schedule framework for supporting learners' daily routines," in Proceedings of the 2nd International Conference on Systems (ICONS '07), p. 31, IEEE, Martinique, France, April 2007.

[235]

S. A. Petersen and J.-K. Markiewicz, "PALLAS: personalised language learning on mobile devices," in Proceedings of the 5th IEEE International Conference on Wireless, Mobile, and Ubiquitous Technology in Education (WMUTE '08), pp. 52-59, IEEE, Beijing, China, March 2008.

[236]

R. Schirru, S. Baumann, M. Memmel, and A. Dengel, "Extraction of contextualized user interest profiles in social sharing platforms," Journal of Universal Computer Science, vol. 16, no. 16, pp. 2196-2213, 2010.

[237]

Y.-K. Wang, "Context awareness and adaptation in mobile learning," in Proceedings of the IEEE International Workshop on Wireless and Mobile Technologies in Education (WMTE '04), pp. 154-158, March 2004.

Digital Library

[238]

Y. Zheng and Y. Yano, "A framework of context-awareness support for peer recommendation in the e-learning context," British Journal of Educational Technology, vol. 38, no. 2, pp. 197- 210, 2007.

[239]

P. Montuschi, F. Lamberti, V. Gatteschi, and C. Demartini, "A semantic recommender system for adaptive learning," IT Professional, vol. 17, no. 5, pp. 50-58, 2015.

Digital Library

[240]

M. B. Younes and A. Boukerche, "A performance evaluation of a context-aware path recommendation protocol for vehicular ad-hoc networks," in Proceedings of the IEEE Global Communications Conference (GLOBECOM '13), pp. 516-521, IEEE, Atlanta, Ga, USA, December 2013.

[241]

S. Inoue, K. Shozaki, and Y. Kakuda, "An automobile control method for alleviation of traffic congestions using inter-vehicle ad hoc communication in lattice-like roads," in Proceedings of the IEEE Globecom Workshops, pp. 1-6, IEEE, Washington, DC, USA, November 2007.

[242]

M. B. Younes and A. Boukerche, "A traffic balanced mechanism for path recommendations in vehicular ad-hoc networks," in Proceedings of the IEEE Global Communications Conference (GLOBECOM '13), pp. 45-50, Austin, Tex, USA, December 2013.

[243]

K. Collins and G.-M. Muntean, "A vehicle route management solution enabled by wireless vehicular networks," in Proceedings of the IEEE INFOCOM Workshops, pp. 1-6, IEEE, Phoenix, Ariz, USA, April 2008.

[244]

M. B. Younes, G. R. Alonso, and A. Boukerche, "Time-distance path recommendation mechanisms for VANETs," in Proceedings of the 2nd ACM International Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications (DIVANet '12), pp. 75-79, Paphos, Cyprus, October 2012.

Digital Library

[245]

J.W. Wedel, B. Schünemann, and I. Radusch, "V2X-based traffic congestion recognition and avoidance," in Proceedings of the 10th International Symposium on Pervasive Systems, Algorithms, and Networks (SPAN '09), pp. 637-641, IEEE, Kaohsiung, Taiwan, December 2009.

[246]

F. Knorr, D. Baselt, M. Schreckenberg, and M. Mauve, "Reducing traffic jams via VANETs," IEEE Transactions on Vehicular Technology, vol. 61, no. 8, pp. 3490-3498, 2012.

[247]

S. di Martino, R. Fitzpatrick, S. Ilarri, and O. Wolfson, "Happy-Parking," in Report from Dagstuhl Seminar 13512: Social Issues in Computational Transportation Science, vol. 3, pp. 120-121, 2014.

[248]

E. Kokolaki, M. Karaliopoulos, and I. Stavrakakis, "Value of information exposed: wireless networking solutions to the parking search problem," in Proceedings of the 8th International Conference on Wireless on-Demand Network Systems and Services (WONS '11), pp. 187-194, IEEE, Bardonecchia, Italy, January 2011.

[249]

E. Kokolaki, M. Karaliopoulos, and I. Stavrakakis, "Opportunistically assisted parking service discovery: now it helps, now it does not," Pervasive and Mobile Computing, vol. 8, no. 2, pp. 210- 227, 2012.

Digital Library

[250]

E. Kokolaki, M. Karaliopoulos, and I. Stavrakakis, "Leveraging information in parking assistance systems," IEEE Transactions on Vehicular Technology, vol. 62, no. 9, pp. 4309-4317, 2013.

[251]

G. Yan, W. Yang, D. B. Rawat, and S. Olariu, "SmartParking: a secure and intelligent parking system: observations from the IEEE IV 2010 symposium," IEEE Intelligent Transportation Systems Magazine, vol. 3, no. 1, pp. 18-30, 2011.

[252]

Y. Geng and C. G. Cassandras, "New 'smart parking' system based on resource allocation and reservations," IEEE Transactions on Intelligent Transportation Systems, vol. 14, no. 3, pp. 1129-1139, 2013.

Digital Library

[253]

T. Delot, S. Ilarri, S. Lecomte, and N. Cenerario, "Sharing with caution: managing parking spaces in vehicular networks," Mobile Information Systems, vol. 9, no. 1, pp. 69-98, 2013.

Digital Library

[254]

V. Verroios, V. Efstathiou, and A. Delis, "Reaching available public parking spaces in urban environments using ad-hoc networking," in Proceedings of the 12th IEEE International Conference on Mobile Data Management (MDM '11), vol. 1, pp. 141-151, IEEE, Lulea, Sweden, June 2011.

Digital Library

[255]

D. Ayala, O. Wolfson, B. Xu, B. Dasgupta, and J. Lin, "Parking slot assignment games," in Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic ACM SIGSPATIAL (GIS '11), pp. 299-308, November 2011.

Digital Library

[256]

D. Ayala, O. Wolfson, B. Xu, B. DasGupta, and J. Lin, "Parking in competitive settings: a gravitational approach," in Proceedings of the 13th IEEE International Conference on Mobile Data Management (MDM'12), pp. 27-32, IEEE, Bengaluru, India, July 2012.

[257]

A. Klappenecker, H. Lee, and J. L. Welch, "Finding available parking spaces made easy," Ad Hoc Networks, vol. 12, no. 1, pp. 243-249, 2014.

Digital Library

[258]

D. Zekri, B. Defude, and T. Delot, "Building, sharing and exploiting spatio-temporal aggregates in vehicular networks," Mobile Information Systems, vol. 10, no. 3, pp. 259-285, 2014.

[259]

R. Anacleto, N. Luz, A. Almeida, L. Figueiredo, and P. Novais, "Shopping center tracking and recommendation systems," in Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011, vol. 87 of Advances in Intelligent and Soft Computing, pp. 299-308, Springer, Berlin, Germany, 2011.

[260]

T. Kimand S. C. Park, "One-to-one customized brand recommendation in virtual shopping mall," in Proceedings of the IEEE International Conference on Management of Innovation and Technology (ICMIT '00), vol. 2, pp. 659-663, IEEE, Singapore, 2000.

[261]

S. Sae-Ueng, S. Pinyapong, A. Ogino, and T. Kato, "Consumer-friendly shopping assistance by personal behavior log analysis on ubiquitous shop space," in Proceedings of the 2nd IEEE Asia-Pacific Services Computing Conference (APSCC '07), pp. 496- 503, Tsukuba, Japan, December 2007.

[262]

B. Lamche, Y. Rödl, and W. Wörndl, "Context-aware recommendations for mobile shopping," in Proceedings of the Workshop on Location-Aware Recommendations, Co-Located with the 9th ACM Conference on Recommender Systems (LocalRec-RecSys '15), vol. 1405, pp. 21-27, 2015, http://ceur-ws.org/.

[263]

Y. Yokohata, Y. Yamato, M. Takemoto, E. Tanaka, and K. Nishiki, "Context-aware content-provision service for shopping malls based on ubiquitous service-oriented network framework and authentication and access control agent framework," in Proceedings of the 3rd IEEE Consumer Communications and Networking Conference (CCNC '06), vol. 2, pp. 1330-1331, Las Vegas, Nev, USA, January 2006.

[264]

G. Hussein, "Mobile recommender system analysis & design," in Proceedings of the 1st International Conference on Networked Digital Technologies (NDT '09), pp. 14-19, Ostrava, Czech Republic, July 2009.

[265]

M. Böhmer, G. Bauer, and A. Krüger, "Exploring the design space of context-aware recommender systems that suggest mobile applications," in Proceedings of the 2nd Workshop on Context-Aware Recommender Systems (CARS '10), pp. 1-5, Barcelona, Spain, September 2010.

[266]

A. Girardello and F. Michahelles, "AppAware: which mobile applications are hot?" in Proceedings of the 12th International Conference on Human-Computer Interaction with Mobile Devices and Services (Mobile HCI '10), pp. 431-434, ACM, Lisbon, Portugal, September 2010.

[267]

A. C. M. Costa, R. S. S. Guizzardi, G. Guizzardi, and G. P. Filho, "COReS: context-aware, ontology-based recommender system for service recommendation," in Proceedings of the Workshop on Ubiquitous Mobile Information and Collaboration Systems (UMICS '07) in Conjunction with the 19th International Conference on Advanced Information Systems Engineering (CAiSE '07), 2007.

[268]

C. Davidsson and S. Moritz, "Utilizing implicit feedback and context to recommend mobile applications from first use," in Proceedings of the ACM Workshop on Context-Awareness in Retrieval and Recommendation (CaRR '11), pp. 19-22, ACM, PaloAlto, Calif, USA, February 2011.

Digital Library

[269]

G. Buchanan, "The fused library: integrating digital and physical libraries with location-aware sensors," in Proceedings of the 10th Annual Joint Conference on Digital Libraries (JCDL '10), pp. 273-282, ACM, Gold Coast, Australia, June 2010.

[270]

M. Jervis and M. Masoodian, "Visualization of physical library shelves to facilitate collection management and retrieval," in Proceedings of the 5th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS '13), pp. 133-138, ACM, June 2013.

Digital Library

[271]

R. J. Mooney and L. Roy, "Content-based book recommending using learning for text categorization," in Proceedings of the 5th ACM Conference on Digital Libraries (DL '00), pp. 195-204, San Antonio, Tex, USA, June 2000.

[272]

J. Serrano-Guerrero, E. Herrera-Viedma, J. A. Olivas, A. Cerezo, and F. P. Romero, "A google wave-based fuzzy recommender system to disseminate information in University Digital Libraries 2.0," Information Sciences, vol. 181, no. 9, pp. 1503-1516, 2011.

Digital Library

[273]

H. Avancini, L. Candela, and U. Straccia, "Recommenders in a personalized, collaborative digital library environment," Journal of Intelligent Information Systems, vol. 28, no. 3, pp. 253-283, 2007.

Digital Library

[274]

S.-C. Liao, K.-F. Kao, I.-E. Liao, H.-L. Chen, and S.-O. Huang, "PORE: a personal ontology recommender system for digital libraries," Electronic Library, vol. 27, no. 3, pp. 496-508, 2009.

[275]

H.-S. Park, J.-O. Yoo, and S.-B. Cho, "A context-aware music recommendation system using fuzzy Bayesian networks with utility theory," in Fuzzy Systems and Knowledge Discovery, L. Wang, L. Jiao, G. Shi, X. Li, and J. Liu, Eds., vol. 4223 of Lecture Notes in Computer Science, pp. 970-979, Springer, Berlin, Germany, 2006.

Digital Library

[276]

J. Lee and J. C. Lee, "Context awareness by case-based reasoning in a music recommendation system," in Ubiquitous Computing Systems, H. Ichikawa, W.-D. Cho, I. Satoh, and H. Youn, Eds., vol. 4836 of Lecture Notes in Computer Science, pp. 45-58, Springer, 2007.

Digital Library

[277]

W. Woerndl, M. Brocco, and E. Robert, "Context-aware recommender systems in mobile scenarios," International Journal of Information Technology and Web Engineering, vol. 4, no. 1, pp. 67-85, 2009.

[278]

W. Woernd and R. Eigner, "Collaborative, context-aware applications for inter-networked cars," in Proceedings of the 16th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE '07), pp. 180-185, IEEE, Évry, France, June 2007.

Digital Library

[279]

H. Zhu, E. Chen, H. Xiong, K. Yu, H. Cao, and J. Tian, "Mining mobile user preferences for personalized context-aware recommendation," ACM Transactions on Intelligent Systems and Technology, vol. 5, no. 4, article 58, 2015.

[280]

D. Gallego, W. Woerndl, and G. Huecas, "Evaluating the impact of proactivity in the user experience of a context-aware restaurant recommender for Android smartphones," Journal of Systems Architecture, vol. 59, no. 9, pp. 748-758, 2013.

Digital Library

[281]

A. Domingo, B. Bellalta, M. Palacin, M. Oliver, and E. Almirall, "Public open sensor data: revolutionizing smart cities," IEEE Technology and Society Magazine, vol. 32, no. 4, pp. 50-56, 2013.

[282]

M. Oliver, M. Palacin, A. Domingo, and V. Valls, "Sensor information fueling open data," in Proceedings of the 36th Annual IEEE International Computer Software and Applications Conference Workshops (COMPSACW '12), pp. 116-121, Izmir, Turkey, July 2012.

[283]

A. Sheth, C. Henson, and S. S. Sahoo, "Semantic sensor web," IEEE Internet Computing, vol. 12, no. 4, pp. 78-83, 2008.

Digital Library

[284]

M. Compton, P. Barnaghi, L. Bermudez et al., "The SSN ontology of the W3C semantic sensor network incubator group," Web Semantics: Science, Services and Agents on the World Wide Web, vol. 17, pp. 25-32, 2012.

Digital Library

[285]

Open Geospatial Consortium, "OpenGIS Sensor Model Language (SensorML) implementation specification," 2007, http://portal.opengeospatial.org/files/?artifact id=21273.

[286]

W. Wei and P. Barnaghi, "Semantic annotation and reasoning for sensor data," in Smart Sensing and Context, vol. 5741 of Lecture Notes in Computer Science, pp. 66-76, Springer, Berlin, Germany, 2009.

Digital Library

[287]

A. Beach, M. Gartrell, X. Xing et al., "Fusing mobile, sensor, and social data to fully enable context-aware computing," in Proceedings of the 11th Workshop on Mobile Computing Systems and Applications (HotMobile '10), pp. 60-65, Annapolis, Md, USA, February 2010.

Digital Library

[288]

W. Sherchan, P. P. Jayaraman, S. Krishnaswamy, A. Zaslavsky, S. Loke, and A. Sinha, "Using on-the-move mining for mobile crowdsensing," in Proceedings of the 13th IEEE International Conference on Mobile Data Management (MDM '12), pp. 115- 124, IEEE, Bengaluru, India, July 2012.

[289]

A. Machanavajjhala, A. Korolova, and A. D. Sarma, "Personalized social recommendations: accurate or private," Proceedings of the VLDB Endowment, vol. 4, no. 7, pp. 440-450, 2011.

Digital Library

[290]

H. Chan and A. Perrig, "Security and privacy in sensor networks," Computer, vol. 36, no. 10, pp. 103-105, 2003.

Digital Library

[291]

H. Wang, L. Yip, K. Yao, and D. Estrin, "Lower bounds of localization uncertainty in sensor networks," in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '04), vol. 3, pp. 917-920, IEEE, May 2004.

[292]

P. Massa and P. Avesani, "Trust-aware recommender systems," in Proceedings of the 1st ACM Conference on Recommender Systems (RecSys '07), pp. 17-24, October 2007.

Digital Library

[293]

R. Yus, P. Pappachan, P. K. Das, T. Finin, A. Joshi, and E. Mena, "Semantics for privacy and shared context," in Proceedings of the 2nd Workshop on Society, Privacy and the Semantic Web-- Policy and Technology (PrivOn '14), vol. 1316 of CEUR Workshop Proceedings, CEUR-WS.org, Riva del Garda, Italy, October 2014.

Cited By

Shirokikh MShenbin IAlekseev AVolodkevich AVasilev ASavchenko ANikolenko SHui Yang GWang HHan SHauff CZuccon GZhang Y(2024)Neural Click Models for Recommender SystemsProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657939(2553-2558)Online publication date: 10-Jul-2024
https://dl.acm.org/doi/10.1145/3626772.3657939
Ilarri STrillo-Lado R(2024)An approach for proactive mobile recommendations based on user-defined rulesExpert Systems with Applications: An International Journal10.1016/j.eswa.2023.122714242:COnline publication date: 16-May-2024
https://dl.acm.org/doi/10.1016/j.eswa.2023.122714
Ilarri SFumanal ITrillo-Lado R(2021)An Experience with the Implementation of a Rule-Based Triggering Recommendation Approach for Mobile DevicesThe 23rd International Conference on Information Integration and Web Intelligence10.1145/3487664.3487806(562-570)Online publication date: 29-Nov-2021
https://dl.acm.org/doi/10.1145/3487664.3487806
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Index Terms

A review of the role of sensors in mobile context-aware recommendation systems
1. Networks
  1. Network types
    1. Mobile networks

Index terms have been assigned to the content through auto-classification.

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cover image International Journal of Distributed Sensor Networks

International Journal of Distributed Sensor Networks Volume 2015, Issue

January 2015

2870 pages

ISSN:1550-1329

EISSN:1550-1477

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Hindawi Limited

London, United Kingdom

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Published: 01 January 2016

Accepted: 12 October 2015

Revised: 09 October 2015

Received: 01 June 2015

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Cited By

Shirokikh MShenbin IAlekseev AVolodkevich AVasilev ASavchenko ANikolenko SHui Yang GWang HHan SHauff CZuccon GZhang Y(2024)Neural Click Models for Recommender SystemsProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657939(2553-2558)Online publication date: 10-Jul-2024
https://dl.acm.org/doi/10.1145/3626772.3657939
Ilarri STrillo-Lado R(2024)An approach for proactive mobile recommendations based on user-defined rulesExpert Systems with Applications: An International Journal10.1016/j.eswa.2023.122714242:COnline publication date: 16-May-2024
https://dl.acm.org/doi/10.1016/j.eswa.2023.122714
Ilarri SFumanal ITrillo-Lado R(2021)An Experience with the Implementation of a Rule-Based Triggering Recommendation Approach for Mobile DevicesThe 23rd International Conference on Information Integration and Web Intelligence10.1145/3487664.3487806(562-570)Online publication date: 29-Nov-2021
https://dl.acm.org/doi/10.1145/3487664.3487806
Nowicki MWietrzykowski JSkrzypczyński P(2017)Real-Time Visual Place Recognition for Personal Localization on a Mobile DeviceWireless Personal Communications: An International Journal10.1007/s11277-017-4502-y97:1(213-244)Online publication date: 1-Nov-2017
https://dl.acm.org/doi/10.1007/s11277-017-4502-y

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