A framework for collaborative filtering recommender systems

Expert Systems with Applications

Volumn 38, Issue 12, 2011, Pages 14609-14623

  Bobadilla, Jesus ^a   Hernando, Antonio ^a   Ortega, Fernando ^a   Bernal, Jesus ^a  

^a UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

Author keywords

Collaborative filtering; Framework; Novelty; Quality; Recommender systems; Similarity measures; Trust

Indexed keywords

COLLABORATIVE FILTERING; FRAMEWORK; NOVELTY; SIMILARITY MEASURE; TRUST;

RECOMMENDER SYSTEMS;

QUALITY CONTROL;

EID: 80052035515     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.05.021     Document Type: Article

References (35)

1. E. 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 17 6 2005 734 749
2. N. Antonopoulus, and J. Salter CinemaScreen recommender agent: Combining collaborative and content-based filtering IEEE Intelligent Systems 2006 35 41
3. Baraglia, R., & Silvestri, F. (2004). An online recommender system for large web sites. In Proceedings of the IEEE/WIC/ACM international conference on web intelligence (pp. 199-205). doi:10.1109/WI.2004.10158.
4. Bobadilla, J., Ortega, F., & Hernando, A. (in press). A collaborative filtering similarity measure based on singularities. Information Processing and Management. doi:10.1016/j.ipm.2011.03.007.
5. J. Bobadilla, F. Serradilla, and J. Bernal A new collaborative filtering metric that improves the behavior of recommender systems Knowledge Based Systems 23 2010 520 528 10.1016/j.knosys.2010.03.009
6. J. Bobadilla, F. Serradilla, and A. Hernando Collaborative filtering adapted to recommender systems of e-learning Knowledge Based Systems 22 2009 261 265 10.1016/j.knosys.2009.01.008
7. J.S. Breese, D. Heckerman, and C. Kadie Empirical analysis of predictive algorithms for collaborative filtering 14th conference on uncertainty in artificial intelligence 1998 Morgan Kaufmann 43 52
8. J. Buhwan, L. Jaewook, and Ch. Hyunbo User credit-based collaborative filtering Expert Systems with Applications 36 2009 7309 7312 10.1016/j.eswa.2008.09.034
9. L. Candillier, F. Meyer, and M. Boullé Comparing state-of-the-art collaborative filtering systems LNAI 4571 2007 548 562
10. S.B. Cho, J.H. Hong, and M.H. Park Location-based recommendation system using bayesian user's preference model in mobile devices LNCS 4611 2007 1130 1139
11. D.R. Fesenmaier, U. Gretzel, C. Knoblock, C. Paris, C. Ricci, and S. Stabb Intelligent systems for tourism Intelligent Systems 17 6 2002 53 66
12. Fuyuki, I., Quan, T. K., & Shinichi, H. (2006). Improving accuracy of recommender systems by clustering items based on stability of user similarity. In IEEE international conference on intelligent agents, web technologies and internet commerce (p. 61). doi:10.1109/CIMCA.2006.123.
13. GM. Giaglis, and G. Lekakos Improving the prediction accuracy of recommendation algorithms: approaches anchored on human factors Interacting with Computers 18 3 2006 410 431
14. K. Goldberg, T. Roeder, D. Gupta, and C. Perkins Eigentaste: A constant time collaborative filtering algorithm Information Retrieval 4 2 2001 133 151
15. J.L. Herlocker, J.A. Konstan, A. Borchers, and J. Riedl An algorithmic framework for performing collaborative filtering SIGIR 1999 230 237
16. J.L. Herlocker, J.A. Konstan, J.T. Riedl, and L.G. Terveen Evaluating collaborative filtering recommender systems ACM Transactions on Information Systems 22 1 2004 5 53
17. F. Hernández, and E. Gaudioso Evaluation of recommender systems: A new approach Expert Systems with Applications 1 35 2008 790 804 10.1016/j.eswa.2007.07.047
18. Hijikata, Y., Shimizu, T., & Nishida S. (2009). Discovery-oriented collaborative filtering for improving user satisfaction. In Proceedings of 14th international conference on Intelligent user interface (pp. 67-76). doi:10-1145/1502650.1502663.
19. H. Ingoo, J.O. Kyong, and H.R. Tae The collaborative filtering recommendation based on SOM cluster-indexing CBR Expert Systems with Applications 25 2003 413 423
20. Jinghua, H., Kangning, W., & Shaohong, F. (2007). A survey of e-commerce recommender systems. In Proceedings of the international conference on service systems and service management (pp. 1-5). doi:10.1109/ICSSSM.2007. 4280214.
21. S. Kitisin, and C. Neuman Reputation-based trust-aware recommender system Securecomm 2006 1 7 10.1109/SECCOMW.2006.359555
22. Kong, F., Sun, X., Ye, S. (2005). A comparison of several algorithms for collaborative filtering in startup stage. In Proceedings of IEEE network, sensing and control (pp. 25-28).
23. J.A. Konstan, B.N. Miller, and J. Riedl PocketLens: Toward a personal recommender system ACM Transactions on Information Systems 22 3 2004 437 476
24. G. Koutrika, B. Bercovitz, and H. Garcia FlexRecs: Expressing and combining flexible recommendations SIGMOD 2009 745 757
25. K. Kwiseok, Ch. Jinhyung, and P. Yongtae Multidimensional credibility model for neighbor selection in collaborative recommendation Expert Systems with Applications 36 2009 7114 7122 10.1016/j.eswa.2008.08.071
26. Li, P., & Yamada, S. (2004). A movie recommender system based on inductive learning. In IEEE conference on cybernetics and intelligent systems (Vol. 1, pp. 318-323). doi:10.1109/ICCIS.2004.1460433.
27. Y. Manolopoulus, A. Nanopoulus, A.N. Papadopoulus, and P. Symeonidis Collaborative recommender systems: Combining effectiveness and efficiency Expert Systems with Applications 4 34 2007 2995 3013 10.1016/j.eswa.2007.05.013
28. O'Donovan, J., & Smyth, B. (2005). Trust in recommender systems. In IUI'05 (pp. 9-12).
29. J.L. Sanchez, F. Serradilla, E. Martinez, and J. Bobadilla Choice of metrics used in collaborative filtering and their impact on recommender systems IEEE DEST 2008 432 436 10.1109/DEST.2008.4635147
30. J.B. Schafer, D. Frankowski, J.L. Herlocker, and S. Sen Collaborative filtering recommender systems LNCS 4321 2007 291 324
31. J. Serrano, E.H. 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 181 8 2011 1503 1516
32. X. Su, and T.M. Khoshgoftaar A survey of collaborative filtering techniques Advances in Artificial Intelligence 2009 2 19 10.1155/2009/421425
33. P. Symeonidis, A. Nanopoulos, and Y. Manolopoulos Providing justifications in recommender systems IEEE Transactions on Systems, Man and Cybernetics 38 6 2008 1262 1272 10.1109/TSMCA.2008.2003969
34. R.R. Yager Fuzzy logic methods in recommender systems Fuzzy Sets and Systems 136 2 2003 133 149
35. F. Zhang Research on recommendation list diversity of recommender systems ICMECG 2008 72 76 10.1109/ICMECG.2008.32