Collaborative filtering technique for web service recommendation based on user-operation combination

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6426 LNCS, Issue PART 1, 2010, Pages 222-239

  Chan, Nguyen Ngoc ^a   Gaaloul, Walid ^a   Tata, Samir ^a  

^a INSTITUT TELECOM   (France)

Author keywords

Recommender system; Vector space model; Web service

Indexed keywords

COLLABORATIVE FILTERING TECHNIQUES; EVALUATION METHOD; QUERY STRING; RECOMMENDER SYSTEMS; ROOT MEAN SQUARE ERRORS; USAGE DATA; VECTOR SPACE MODEL; VECTOR SPACE MODELS; WEB SERVICE DESCRIPTION; EVALUATION METHODS; WEB SERVICE RECOMMENDATIONS;

ALGORITHMS; INTERNET; QUERY LANGUAGES; SIGNAL FILTERING AND PREDICTION; VECTOR SPACES; VECTORS; COLLABORATIVE FILTERING; EFFICIENCY; MEAN SQUARE ERROR; RECOMMENDER SYSTEMS; WEBSITES;

WEB SERVICES;

EID: 78650134665     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-16934-2_17     Document Type: Conference Paper

References (27)

1. Ferris, C., Farrell, J.: What are web services? ACM Commun. 46(6), 31 (2003)
2. Daniel, B., Katharina, S., Holger, L., Fensel, D.: Web service discovery? a reality check. In: Sure, Y., Domingue, J. (eds.) ESWC 2006. LNCS, vol. 4011, Springer, Heidelberg (2006)
3. Resnick, P., Varian, H.R.: Recommender systems. ACM Commun. 40(3), 56-58 (1997)
4. Wu, C.-T., Wang, H.-F.: Recent development of recommender systems. In: IEEE International Conference on Industrial Engineering and Engineering Management, pp. 228-232 (December 2007)
5. Dong, X., Halevy, A., Madhavan, J., Nemes, E., Zhang, J.: Similarity search for web services. In: VLDB 2004: Proceedings of the Thirtieth international conference on Very large data bases, pp. 372-383. VLDB Endowment (2004)
6. Platzer, C., Dustdar, S.: A vector space search engine for web services. In: Third IEEE European Conference on Web Services, ECOWS 2005, p. 9 (November 2005)
7. 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)
8. Kokash, N., Birukou, A., D'Andrea, V.: Web Service Discovery Based on Past User Experience. In: Abramowicz, W. (ed.) BIS 2007. LNCS, vol. 4439, pp. 95-107. Springer, Heidelberg (2007)
9. Zheng, Z., Ma, H., Lyu, M.R., King, I.: Wsrec: A collaborative filtering based web service recommender system. In: ICWS 2009: Proceedings of the 2009 IEEE International Conference on Web Services, Washington, DC, USA, pp. 437-444. IEEE Computer Society, Los Alamitos (2009)
10. Wang, Z., Liu, K., Lv, G., Hao, X.: Study of an algorithm of web service matching based on semantic web service. In: ALPIT 2007: Proceedings of the Sixth International Conference on Advanced Language Processing and Web Information Technology (ALPIT 2007), Washington, DC, USA, pp. 429-433. IEEE Computer Society, Los Alamitos (2007)
11. Paolucci, M., Kawamura, T., Payne, T.R., Sycara, K.P.: Semantic matching of web services capabilities. In: Horrocks, I., Hendler, J. (eds.) ISWC 2002. LNCS, vol. 2342, pp. 333-347. Springer, Heidelberg (2002)
12. Salton, G., Wong, A., Yang, C.S.: A vector space model for automatic indexing. ACM Commun. 18(11), 613-620 (1975)
13. Manning, C.D., Raghavan, P., Schutze, H.: Introduction to Information Retrieval. Cambridge University Press, Cambridge (2008)
14. Herlocker, J.L., Konstan, J.A., Terveen, L.G., Riedl, J.T.: Evaluating collaborative filtering recommender systems. ACM Trans. Inf. Syst. 22(1), 5-53 (2004)
15. James, B., Stan, L.: The netflix prize. In: KDDCup 2007 (2007)
16. Manikrao, U.S., Prabhakar, T.V.: Dynamic selection of web services with recommendation system. In: NWESP 2005: Proceedings of the International Conference on Next Generation Web Services Practices, Washington, DC, USA, p. 117. IEEE Computer Society, Los Alamitos (2005)
17. Blake, M.B., Nowlan, M.F.: A web service recommender system using enhanced syntactical matching. In: ICWS, pp. 575-582 (2007)
18. Kokash, N., Birukou, R.: Web service discovery based on past user experience. In: Abramowicz, W. (ed.) BIS 2007. LNCS, vol. 4439, pp. 95-107. Springer, Heidelberg (2007)
19. Paliwal, A.V., Adam, N.R., Bornhovd, C.: Web service discovery: Adding semantics through service request expansion and latent semantic indexing. In: IEEE International Conference on Services Computing, pp. 106-113 (2007)
20. Wu, S.: A new web services matching algorithm. In: IUCE 2009: Proceedings of the 2009 International Symposium on Intelligent Ubiquitous Computing and Education, Washington, DC, USA, pp. 414-416. IEEE Computer Society, Los Alamitos (2009)
21. Landauer, T.K., Foltz, P.W., Laham, D.: An introduction to latent semantic analysis. Discourse Processes (25), 259-284 (1998)
22. Berry, M.W., Dumais, S.T., O'Brien, G.W.: Using linear algebra for intelligent information retrieval. SIAM Rev. 37(4), 573-595 (1995)
23. Wu, C., Potdar, V., Chang, E.: Latent Semantic Analysis - The Dynamics of Semantics Web Services Discovery. In: Dillon, T.S., Chang, E., Meersman, R., Sycara, K. (eds.) Advances in Web Semantics I. LNCS, vol. 4891, pp. 346-373. Springer, Heidelberg (2008)
24. Kontostathis, A., Pottenger, W.M.: A framework for understanding latent semantic indexing (lsi) performance. Inf. Process. Manage. 42(1), 56-73 (2006)
25. Baeza-Yates, R., Ribeiro-Neto, B.: Modern Information Retrieval, 1st edn. Addison-Wesley, Reading (May 1999)
26. Paterek, A.: Improving regularized singular value decomposition for collaborative filtering. In: KDDCup 2007 (2007)
27. Ma, J., Zhang, Y., He, J.: Web services discovery based on latent semantic approach. In: ICWS 2008: Proceedings of the 2008 IEEE International Conference on Web Services, Washington, DC, USA, pp. 740-747. IEEE Computer Society, Los Alamitos (2008)