Bayesian-inference-based recommendation in online social networks

IEEE Transactions on Parallel and Distributed Systems

Volumn 24, Issue 4, 2013, Pages 642-651

  Yang, Xiwang ^a   Guo, Yang ^b   Liu, Yong ^a  

^a POLYTECHNIC UNIVERSITY   (United States)

^b LUCENT TECHNOLOGIES   (United States)

Author keywords

Bayesian inference; cold start; online social network; Recommender system

Indexed keywords

BAYESIAN INFERENCE; COLD START; CONDITIONAL PROBABILITIES; DISTRIBUTED PROTOCOLS; ON-LINE SOCIAL NETWORKS; PRIOR DISTRIBUTION; RATING SIMILARITIES; TRUST-BASED RECOMMENDATIONS;

BAYESIAN NETWORKS; COLLABORATIVE FILTERING; INFERENCE ENGINES; ONLINE SYSTEMS; QUERY PROCESSING; RECOMMENDER SYSTEMS; SOCIAL NETWORKING (ONLINE);

RATING;

EID: 84874970053     PISSN: 10459219     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPDS.2012.192     Document Type: Article

References (33)

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 Trans. Knowledge and Data Eng., vol. 17, no. 6, pp. 734-749, June 2005. (Pubitemid 40860454)
2. K. Yu, A. Schwaighofer, V. Tresp, X. Xu, and H. Kriegel, "Probabilistic Memory-Based Collaborative Filtering," IEEE Trans. Knowledge and Data Eng., vol. 16, no. 1, pp. 56-69, Jan. 2004.
3. J. Herlocker, J. Konstan, L. Terveen, and J. Ridel, "Evaluating Collaborative Filtering Recommender Systems," ACM Trans. Information Systems, vol. 22, no. 1, pp. 5-53, Jan. 2004.
4. Y. Koren, R. Bell, and C. Volinsky, "Matrix Factorization Techniques for Recommendation Systems," Computer, vol. 42, no. 8, pp. 30-37, Aug. 2009.
5. J. Bennet and S. Lanning, "The Netflix Prize," Proc. KDD Cup and Workshop, www.netflixprize.com, 2007.
6. X. Yang, Y. Guo, and Y. Liu, "Bayesian-Inference Based Recommendation in Online Social Networks," Proc. IEEE INFOCOM '11, 2011.
7. M. McPherson, L. Smith-Lovin, and J.M. Cook, "Birds of a Feather: Homophily in Social Networks," Ann. Rev. Sociology, vol. 27, no. 1, pp. 415-444, 2001, doi:10.1146/annurev.soc.27.1.415. (Pubitemid 33342718)
8. YouTube, http://www.youtube.com, 2012.
9. Epinions, http://www.epinions.com/, 2012.
10. NetflixPrize, http://www.netflixprize.com/, 2012.
11. Twitter, http://twitter.com, 2012.
12. Facebook, http://www.facebook.com, 2012.
13. Flixster, http://www.flixster.com, 2012.
14. Flixster, http://www.facebook.com/apps/application. php?id= 111849295510739, 2012.
15. IMDB, http://www.imdb.com, 2012.
16. J.S. Breese, D. Heckerman, and C. Kadie, "Empirical Analysis of Predictive Algorithms for Collaborative Filtering," technical report, Morgan Kaufmann, pp. 43-52, 1998.
17. Y.-H. Chien and E.I. George, "A Bayesian Model for Collaborative Filtering," Proc. Seventh Int'l Workshop Artificial Intelligence and Statistics, 1999.
18. A. Ansari, S. Essegaier, and R. Kohli, "Internet Recommendations Systems," J. Marketing Research, vol. 37, no. 3, pp. 363-375, Aug. 2000, doi: 10.1509/jmkr.37.3.363.18779.
19. Y. Zhang and J. Koren, "Efficient Bayesian Hierarchical User Modeling for Recommendation System," Proc. 30th Ann. In'l ACM SIGIR Conf. Research and Development in Information Retrieval, pp. 47-54, 2007, doi:10.1145/1277741.1277752. (Pubitemid 350164943)
20. A. Narayanan and V. Shmatikov, "Robust de-Anonymization of Large Sparse Data Sets," Proc. IEEE Symp. Security and Privacy, 2008.
21. J. Golbeck and J. Hendler, "FilmTrust: Movie Recommendations Using Trust in Web-Based Social Networks," Proc. IEEE Consumer Comm. and Networking Conf., pp. 282-286, Jan. 2006. (Pubitemid 44460395)
22. C. Ziegler and J. Golbeck, "Investigating Interactions of Trust and Interest Similarity," Decision Support Systems, vol. 43, no. 2, pp. 460-475, 2007, doi:http://dx.doi.org/10.1016/j.dss.2006.11.003. (Pubitemid 46216548)
23. C. Ziegler and G. Lausen, "Analyzing Correlation between Trust and User Similarity in Online Communities," Proc. Second Int'l Conf. Trust Management, pp. 251-265, 2004.
24. P. Massa and B. Bhattacharjee, "Using Trust in Recommender Systems: An Experimental Analysis," Proc. iTrust In'l Conf., pp. 221-235, 2004.
25. T. DuBois, J. Golbeck, J. Kleint, and A. Srinivasan, "Improving Recommendation Accuracy by Clustering Social Networks with Trust," Proc. ACM RecSys Workshop Recommender Systems and the Social Web, Oct. 2009.
26. J. O'Donovan and B. Smyth, "Trust in Recommender Systems," Proc. 10th In'l Conf. Intelligent User Interfaces, 2005.
27. F. Walter and S. Battiston, and F. Schweitzer, "A Model of a Trust-Based Recommendation System on a Social Network," Autonomous Agents and Multi-Agent Systems, vol. 16, no. 1, pp. 1573-7454, Oct. 2007.
28. K. Sarda, P. Gupta, D. Mukherjee, S. Padhy, and H. Saran, "A Distributed Trust-Based Recommendation System on Social Network," Proc. IEEE 10th Second Workshop Hot Topics in Web Systems and Technologies, 2008.
29. P. Massa and P. Avesani, "Trust-Aware Recommender Systems," Proc. ACM Conf. Recommender Systems, 2007.
30. P. Massa and P. Avesani, "Controversial Users Demand Local Trust Metrics: An Experimental Study on epinions.com Community," Proc. 25th Am. Assoc. for Artificial Intelligence Conf., 2005.
31. GroupLens, "MovieLens Data Sets," http://www.grouplens.org/ node/73#attachments, 2010.
32. E. Ayday and F. Fekri, "A Belief Propagation Based Recommender System for Online Services," Proc. ACM Conf. Recommender Systems, 2010.
33. M. Jamali and M. Ester, "A Matrix Factorization Technique with Trust Propagation for Recommendation in Social Networks," Proc. ACM Conf. Recommender Systems, 2010.