Abstract
Modeling users’ online behavior has great benefit for many e-Commerce web sites and search engines. In the context of software service selection, if we could understand users’ personal preferences, we could rank the services in a more satisfactory way. Many users have some general preferences on the desired values of non-functional properties (e.g. provider history, service popularity, etc.) of services, even if they may not explicitly define them. In this paper, we propose to build user profiles on these non-functional preferences, and then use them to personalize the ranking results for individual users. Our experiment showed that personalized ranking could promote the services matching with the user preferred non-functional values to higher positions, making it easier for users to identify their desired services. We also tested how different factors impact the degree of improvement on the ranking accuracy.
Chapter PDF
Similar content being viewed by others
References
Averbakh, A., Krause, D., Skoutas, D.: Recommend me a Service: Personalized Semantic Web Service Matchmaking. In: Proceedings of the 17th Workshop on Adaptivity and User Modeling in Interactive Systems (2009)
Birukou, A., Blanzieri, E., D’Andrea, V., Giorgini, P., Kokash, N.: Improving Web Service Discovery with Usage Data. IEEE Software 24(6), 47–54 (2007)
García, J.M., Ruiz, D., Ruiz-Cortés, A.: A Model of User Preferences for Semantic Services Discovery and Ranking. In: Aroyo, L., Antoniou, G., Hyvönen, E., ten Teije, A., Stuckenschmidt, H., Cabral, L., Tudorache, T. (eds.) ESWC 2010, Part II. LNCS, vol. 6089, pp. 1–14. Springer, Heidelberg (2010)
Howard, J.A., Sheth, J.N.: The Theory of Buyer Behavior. John Wiley & Sons (1969)
Klan, F., König-Ries, B.: A Personalized Approach to Experience-Aware Service Ranking and Selection. In: Greco, S., Lukasiewicz, T. (eds.) SUM 2008. LNCS (LNAI), vol. 5291, pp. 270–283. Springer, Heidelberg (2008)
Manikrao, U.S., Prabhakar, T.V.: Dynamic Selection of Web Services with Recommendation System. In: Proceedings of the International Conference on Next Generation Web Services Practices, pp. 117–121 (2005)
Manning, C.D., Raghavan, P., Schütze, H.: Introduction to Information Retrieval. Cambridge University Press (2008)
Qiu, F., Cho, J.: Automatic Identification of User Interest for Personalized Search. In: Proceedings of the 15th International Conference on World Wide Web, pp. 727–736 (2006)
Rong, W., Liu, K., Liang, L.: Personalized Web Service Ranking via User Group combining Association Rule. In: Proceedings of the 7th International Conference on Web Services, pp. 445–452 (2009)
Schröpfer, C., Binshtok, M., Shimony, S.E., Dayan, A., Brafman, R., Offermann, P., Holschke, O.: Introducing Preferences over NFPs into Service Selection in SOA. In: Di Nitto, E., Ripeanu, M. (eds.) ICSOC 2007. LNCS, vol. 4907, pp. 68–79. Springer, Heidelberg (2009)
Shafiq, M.O., Alhajj, R., Rokne, J.: On the Social Aspects of Personalized Ranking for Web Services. In: Proceedings of the IEEE International Conference on High Performance Computing and Communications, pp. 86–93 (2011)
Tran, V.X., Tsuji, H., Masuda, R.: A New QoS Ontology and its QoS-based Ranking Algorithm for Web Services. Simulation Modeling Practice and Theory 17(8), 1378–1398 (2009)
Vu, L.H., Proto, F., Aberer, K., Hauswirth, M.: An Extensible and Personalzied Approach to QoS-enabled Service Discovery. In: Proceedings of the 11th International Database Engineering and Applications Symposium, pp. 37–45 (2007)
Wang, H.C., Lee, C.S., Ho, T.H.: Combining Subjective and Objective QoS Factors for Personalized Web Service Selection. Expert Systems with Applications 32(2), 571–584 (2007)
Zhang, Q., Ding, C., Chi, C.H.: Collaborative Filtering Based Service Ranking using Invocation Histories. In: Proceedings of the IEEE Internation Conference on Web Services, pp. 195–202 (2011)
Zheng, Z., Zhang, Y., Lyu, M.R.: CloudRank: A QoS-Driven Component Ranking Framework for Cloud Computing. In: Proceedings of the 29th IEEE International Symposium on Reliable Distributed Systems, pp. 184–193 (2010)
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
Mirmotalebi, R., Ding, C., Chi, CH. (2012). Modeling User’s Non-functional Preferences for Personalized Service Ranking. In: Liu, C., Ludwig, H., Toumani, F., Yu, Q. (eds) Service-Oriented Computing. ICSOC 2012. Lecture Notes in Computer Science, vol 7636. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34321-6_24
Download citation
DOI: https://doi.org/10.1007/978-3-642-34321-6_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34320-9
Online ISBN: 978-3-642-34321-6
eBook Packages: Computer ScienceComputer Science (R0)