Revealing and incorporating implicit communities to improve recommender systems

EC 2014 - Proceedings of the 15th ACM Conference on Economics and Computation

Volumn , Issue , 2014, Pages 489-506

  Choo, Euijin ^a   Yu, Ting ^a,b   Chi, Min ^a   Sun, Yan ^c  

^a NORTH CAROLINA STATE UNIVERSITY   (United States)

^b QATAR COMPUTING RESEARCH INSTITUTE   (Qatar)

^c UNIVERSITY OF RHODE ISLAND   (United States)

Author keywords

implicit communities; recommendation; recommender system; social network

Indexed keywords

SOCIAL ASPECTS; SOCIAL NETWORKING (ONLINE);

COMMERCIAL SYSTEMS; DIRECT INTEGRATION; HYBRID RECOMMENDER SYSTEMS; PERSONAL DECISION; PRIVACY CONCERNS; RECOMMENDATION; SOCIAL CONNECTION; SOCIAL RELATIONSHIPS;

RECOMMENDER SYSTEMS;

EID: 84903130197     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2600057.2602906     Document Type: Conference Paper

References (31)

1. G. Adomavicius and A. Tuzhilin. 2005. 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 (2005).
2. O. Arazy, N. Kumar, and B. Shapira. 2009. Improving Social Recommender Systems. IT Professional 11, 4 (2009), 38-44.
3. P. Bonhard and M.A. Sasse. 2006. 'Knowing me, knowing you' Using profiles and social networking to improve recommender systems. BT Technology Journal 24 (2006), 84-98. Issue 3.
4. Yevgeniy Dodis and Adam Smith. 2005. Entropic security and the encryption of high entropy messages. Theory of Cryptography (2005), 556-577.
5. Tom DuBois, Jennifer Golbeck, John Kleint, and Aravind Srinivasan. 2009. Improving recommendation accuracy by clustering social networks with trust. Recommender Systems & the Social Web (2009), 1-8.
6. K. Funakoshi and T. Ohguro. 2000. A content-based collaborative recommender system with detailed use of evaluations. In Knowledge-Based Intelligent Engineering Systems and Allied Technologies, Proceedings. Fourth International Conference on, Vol. 1. 253 -256.
7. Jianming He and Wesley W. Chu. 2010. A Social Network-Based Recommender System (SNRS). 12 (2010), 47-74.
8. Jonathan Herlocker, Joseph Konstan, Loren Terveen, and John Riedl. 2004. Evaluating collaborative filtering recommender systems. ACM Trans. Inf. Syst. 22, 1 (2004), 5-53.
9. Thomas Hofmann. 2004. Latent semantic models for collaborative filtering. ACM Transactions on Information Systems (TOIS) 22, 1 (2004), 89-115.
10. Zan Huang, D. Zeng, and Hsinchun Chen. 2007. A Comparison of Collaborative-Filtering Recommendation Algorithms for E-commerce. Intelligent Systems, IEEE 22, 5 (2007), 68 -78.
11. Meng Jiang, Peng Cui, Rui Liu, Qiang Yang, Fei Wang, Wenwu Zhu, and Shiqiang Yang. 2012. Social contextual recommendation. In Proceedings of the 21st ACM international conference on Information and knowledge management. ACM, 45-54.
12. Joseph A. Konstan. 2004. Introduction to recommender systems: Algorithms and Evaluation. ACM Trans. Inf. Syst. 22, 1 (2004), 1-4.
13. Yehuda Koren. 2010. Factor in the neighbors: Scalable and accurate collaborative filtering. ACM Transactions on Knowledge Discovery from Data (TKDD) 4, 1 (2010), 1.
14. Yehuda Koren, Robert Bell, and Chris Volinsky. 2009. Matrix factorization techniques for recommender systems. Computer 42, 8 (2009), 30-37.
15. Yun-Jung Lee, Eun-Kyung Kim, Hwan-Gue Cho, and Gyun Woo. 2012. Detecting and visualizing online dispute dynamics in replying comments. Software: Practice and Experience (2012).
16. Damien Leprovost, Lylia Abrouk, and David Gross-Amblard. 2012. Discovering implicit communities in web forums through ontologies. Web Intelligence and Agent Systems 10, 1 (2012), 93-103.
17. G. Linden, B. Smith, and J. York. 2003. Amazon.com recommendations: item-to-item collaborative filtering. Internet Computing, IEEE 7, 1 (2003), 76-80.
18. Di Ma, Dandan Song, and Lejian Liao. 2013. Incorporating social actions into recommender systems. In Web-Age Information Management. Springer, 698-704.
19. Hao Ma, Dengyong Zhou, Chao Liu, Michael R Lyu, and Irwin King. 2011. Recommender systems with social regularization. In Proceedings of the fourth ACM international conference on Web search and data mining. ACM, 287-296.
20. Ashwin Machanavajjhala, Aleksandra Korolova, and Atish Das Sarma. 2011. Personalized social recommendations: accurate or private. Proc. VLDB Endow. 4, 7 (April 2011), 440-450.
21. Raymond J. Mooney and Loriene Roy. 2000. Content-based book recommending using learning for text categorization. In Proceedings of the fifth ACM conference on Digital libraries. ACM, 195-204.
22. M. E. J. Newman, S. H. Strogatz, and D. J. Watts. 2001. Random graphs with arbitrary degree distributions and their applications. Phys. Rev. E 64 (Jul 2001), 026118. Issue 2.
23. Michael J. Pazzani and Daniel Billsus. 2007. Content-Based Recommendation Systems. 4321 (2007), 325-341.
24. Paul Resnick and Hal R. Varian. 1997. Recommender systems. Commun. ACM 40, 3 (1997), 56-58.
25. Francesco Ricci, Lior Rokach, and Bracha Shapira. 2011. Introduction to Recommender Systems Handbook. (2011), 1-35.
26. Badrul Sarwar, George Karypis, Joseph Konstan, and John Riedl. 2001. Item-based collaborative filtering recommendation algorithms. In Proceedings of the 10th international conference on World Wide Web (WWW '01). 285-295.
27. J.Ben Schafer, Dan Frankowski, Jon Herlocker, and Shilad Sen. 2007. Collaborative Filtering Recommender Systems. 4321 (2007), 291-324.
28. Anne Schuth, Maarten Marx, and Maarten de Rijke. 2007. Extracting the discussion structure in comments on news-articles. In Proceedings of the 9th annual ACM international workshop on Web information and data management. ACM, 97-104.
29. Erez Shmueli, Amit Kagian, Yehuda Koren, and Ronny Lempel. 2012. Care to comment?: recommendations for commenting on news stories. In Proceedings of the 21st international conference on World Wide Web. ACM, 429-438.
30. Richard C Sprinthall and Stephen T Fisk. 1990. Basic statistical analysis. Prentice Hall Englewood Cliffs, NJ.
31. Bin Xu, Jiajun Bu, Chun Chen, and Deng Cai. 2012. An exploration of improving collaborative recommender systems via user-item subgroups. In Proceedings of the 21st international conference on World Wide Web. ACM, 21-30.