Abstract
We describe a new recommender system for the Russian interactive radio network FMhost. The underlying model combines collaborative and user-based approaches. The system extracts information from tags of listened tracks for matching user and radio station profiles and follows an adaptive online learning strategy based on user history. We also provide some basic examples and describe the quality of service evaluation methodology.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Klapuri, A., Leider, C. (eds.): Proceedings of the 12th International Society for Music Information Retrieval Conference, ISMIR 2011, Miami, Florida, USA, October 24-28. University of Miami (2011)
Anglade, A., Baccigalupo, C., Casagrande, N., Celma, Ò., Lamere, P.: Workshop report: Womrad 2010. In: Amatriain, X., Torrens, M., Resnick, P., Zanker, M. (eds.) RecSys, pp. 381–382. ACM (2010)
Anglade, A., Celma, O., Fields, B., Lamere, P., McFee, B.: Womrad: 2nd workshop on music recommendation and discovery. In: Proceedings of the Fifth ACM Conference on Recommender Systems, RecSys 2011, pp. 381–382. ACM, New York (2011)
RecSys 2011: Proceedings of the Fifth ACM Conference on Recommender Systems, 609116. ACM, New York (2011)
Hilliges, O., Holzer, P., Klüber, R., Butz, A.: AudioRadar: A Metaphorical Visualization for the Navigation of Large Music Collections. In: Butz, A., Fisher, B., Krüger, A., Olivier, P. (eds.) SG 2006. LNCS, vol. 4073, pp. 82–92. Springer, Heidelberg (2006)
Gleich, D.F., Rasmussen, M., Lang, K., Zhukov, L.: The world of music: User ratings; spectral and spherical embeddings; map projections. Online report (2006)
Gleich, D.F., Zhukov, L., Rasmussen, M., Lang, K.: The World of Music: SDP Embedding of High Dimensional data. In: Information Visualization 2005 (2005), Interactive Poster
Brandenburg, K., Dittmar, C., Gruhne, M., Abeßer, J., Lukashevich, H., Dunker, P., Gärtner, D., Wolter, K., Grossmann, H.: Music search and recommendation. In: Furht, B. (ed.) Handbook of Multimedia for Digital Entertainment and Arts, pp. 349–384. Springer US (2009)
Celma, Ò.: Music Recommendation and Discovery - The Long Tail, Long Fail, and Long Play in the Digital Music Space. Springer (2010)
Avesani, P., Massa, P., Nori, M., Susi, A.: Collaborative Radio Community. In: De Bra, P., Brusilovsky, P., Conejo, R. (eds.) AH 2002. LNCS, vol. 2347, pp. 462–465. Springer, Heidelberg (2002)
Symeonidis, P., Ruxanda, M.M., Nanopoulos, A., Manolopoulos, Y.: Ternary semantic analysis of social tags for personalized music recommendation. In: Bello, J.P., Chew, E., Turnbull, D. (eds.) ISMIR, pp. 219–224 (2008)
Nanopoulos, A., Rafailidis, D., Symeonidis, P., Manolopoulos, Y.: Musicbox: Personalized music recommendation based on cubic analysis of social tags. IEEE Transactions on Audio, Speech & Language Processing 18(2), 407–412 (2010)
Koenigstein, N., Dror, G., Koren, Y.: Yahoo! music recommendations: modeling music ratings with temporal dynamics and item taxonomy. In: Proceedings of the Fifth ACM Conference on Recommender Systems, RecSys 2011, pp. 165–172. ACM, New York (2011)
Celma, O., Lamere, P.: Music recommendation and discovery revisited. In: Proceedings of the Fifth ACM Conference on Recommender Systems, RecSys 2011, pp. 7–8. ACM, New York (2011)
Hu, Y., Ogihara, M.: Nextone player: A music recommendation system based on user behavior. In: [1], pp. 103–108
Bogdanov, D., Herrera, P.: How much metadata do we need in music recommendation? a subjective evaluation using preference sets. In: [1], pp. 97–102
Mesnage, C.S., Rafiq, A., Dixon, S., Brixtel, R.P.: Music discovery with social networks. In: Workshop on Music Recommendation and Discovery 2011, pp. 1–6 (October 2011)
Barthet, M., Anglade, A., Fazekas, G., Kolozali, S., Macrae, R.: Music recommendation for music learning: Hotttabs, a multimedia guitar tutor. In: Workshop on Music Recommendation and Discovery 2011, pp. 7–13 (October 2011)
Tatlı, I., Birturk, A.: Using semantic relations in context-based music recommendations. In: Workshop on Music Recommendation and Discovery 2011, pp. 14–17 (October 2011)
Knees, P., Schedl, M.: Towards semantic music information extraction from the web using rule patterns and supervised learning. In: Workshop on Music Recommendation and Discovery 2011, pp. 18–25 (October 2011)
Knopke, I.: The importance of service and genre in recommendations for online radio and television programmes. In: Workshop on Music Recommendation and Discovery 2011, pp. 26–29 (October 2011)
Popescu, G., Pu, P.: Probabilistic game theoretic algorithms for group recommender systems. In: Workshop on Music Recommendation and Discovery 2011, pp. 7–12 (October 2011)
Ignatov, D.I., Poelmans, J., Zaharchuk, V.: Recommender System Based on Algorithm of Bicluster Analysis RecBi. In: Ignatov, D., Poelmans, J., Kuznetsov, S. (eds.) CDUD 2011 - Concept Discovery in Unstructured Data. CEUR Workshop proceedings, vol. 757, pp. 122–126 (2011)
Ignatov, D.I., Kuznetsov, S.O.: Concept-based Recommendations for Internet Advertisement. In: Belohlavek, R., Kuznetsov, S.O. (eds.) Proc. CLA 2008. CEUR WS, vol. 433, pp. 157–166. Palacký University, Olomouc (2008)
Ganter, B., Wille, R.: Formal Concept Analysis: Mathematical Foundations, 1st edn. Springer-Verlag New York, Inc., Secaucus (1999)
Edwards, W., Barron, F.: SMARTS and SMARTER: Improved Simple Methods for Multiattribute Utility Measurement. Organizational Behavior and Human Decision Processes 60(3), 306–325 (1994)
Ignatov, D.I., Poelmans, J., Dedene, G., Viaene, S.: A New Cross-Validation Technique to Evaluate Quality of Recommender Systems. In: Kundu, M.K., Mitra, S., Mazumdar, D., Pal, S.K. (eds.) PerMIn 2012. LNCS, vol. 7143, pp. 195–202. Springer, Heidelberg (2012)
Clauset, A., Shalizi, C.R., Newman, M.E.J.: Power-law distributions in empirical data. SIAM Rev. 51(4), 661–703 (2009)
Vander Wal, T.: Folksonomy Coinage and Definition (2007), http://vanderwal.net/folksonomy.html (accessed on March 12, 2012)
Ignatov, D.I., Kuznetsov, S.O., Magizov, R.A., Zhukov, L.E.: From Triconcepts to Triclusters. In: Kuznetsov, S.O., Ślęzak, D., Hepting, D.H., Mirkin, B.G. (eds.) RSFDGrC 2011. LNCS, vol. 6743, pp. 257–264. Springer, Heidelberg (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ignatov, D.I., Konstantinov, A.V., Nikolenko, S.I., Poelmans, J., Zaharchuk, V.V. (2012). Online Recommender System for Radio Station Hosting. In: Aseeva, N., Babkin, E., Kozyrev, O. (eds) Perspectives in Business Informatics Research. BIR 2012. Lecture Notes in Business Information Processing, vol 128. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33281-4_1
Download citation
DOI: https://doi.org/10.1007/978-3-642-33281-4_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33280-7
Online ISBN: 978-3-642-33281-4
eBook Packages: Computer ScienceComputer Science (R0)