Personalized smart TV program recommender based on collaborative filtering and a novel similarity method

IEEE Transactions on Consumer Electronics

Volumn 57, Issue 3, 2011, Pages 1416-1423

  Kwon, Hyeong Joon ^a   Hong, Kwang Seok ^a  

^a Sungkyunkwan University   (South Korea)

Author keywords

Collective Intelligence; Information Filtering; Program Recommender Systems; Smart TV

Indexed keywords

COLD-START; COLLABORATIVE FILTERING; COLLABORATIVE FILTERING METHODS; COLLECTIVE INTELLIGENCES; ELECTRONIC PROGRAM GUIDE; INFORMATION FILTERING; PREDICTION ACCURACY; RECOMMENDATION PERFORMANCE; TRAINING PROCESS; TV PROGRAMS;

EID: 80052945814     PISSN: 00983063     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCE.2011.6018902     Document Type: Article

References (24)

1. Ana Belen, Barragans-Martinez, Marta Rey-Lopez, Enrique Costa-Montenegro, Fernando A. Mikic-Fonte, Juan C. Burguillo and Ana Peleteiro, "Exploiting Social Tagging in a Web 2.0 Recommender System", IEEE Internet Computing, Vol. 14, Issue 6, Nov.-Dec. 2010, pp.23-30.
2. Milan Bjelica, "Towards TV Recommender System: Experiments with User Modeling", IEEE Trans. Consum. Electron., Vol. 56, Issue 3, Aug. 2010, pp.707-712, pp. 1763-1769.
3. Yu-Cheng Chen, Hsien-Chao Huang, Yueh-Min Huang, "Community-based program recommendation for the next generation electronic program guide", IEEE Trans. Consum. Electron., Vol. 55, Issue 2, May 2009, pp. 707-712.
4. SeungGwan Lee, Daeho Lee, Sungwon Lee, "Personalized DTV program recommendation system under a cloud computing environment", IEEE Trans. Consum. Electron., Vol. 56, Issue 2, May 2010, pp. 1034-1042.
5. Martinez A., Arias, J., Vilas A., Garcia Duque J., Lopez Nores, M., "Whats on TV tonight? An efficient and effective personalized recommender system of TV programs", IEEE Trans. Consum. Electron., Vol. 55, Issue 1, February 2009, pp. 286-294.
6. Jiangshan Xu, Liang-Jie Zhang, Haiming Lu and Yanda Li, "The development and prospect of personalized TV program recommendation systems", Proc. of IEEE Forth Int. Conf. on Multimedia Software Engineering, 2002, pp. 82-90.
7. Boratto Ludovico, Carta Salvatore, Chessa Alessandro, Agelli Maurizio, Clemente M. Laura, "Group Recommendation with Automatic Identification of Users Communities", Proc. of IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technologies, 2009, pp. 547-550.
8. Adomavicius, G., Tuzhilin, A., "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, Issue 6, June 2005, pp.734-749. (Pubitemid 40860454)
9. H. J. Ahn, A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem", Information Sciences, Vol. 178, No. 1, 2008, pp.37-51. (Pubitemid 47531785)
10. G. Linden, B. Smith, J. York, "Amazon.com recommendations: Item-toitem collaborative filtering", IEEE Internet Computing Vol. 7, No. 1, 2003, pp. 76-80.
11. Jonathan L. Herlocker, Joseph A. Konstan, Al Borchers and John Riedl, "An algorithmic framework for performing collaborative filtering", Proc. of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval, 1999, pp. 230-237.
12. Goldberg, D., Nichols, D., Oki, B. M., & Terry, D., "Using collaborative filtering to weave information tapestry", Communications of the ACM Vol. 35, No. 12, 1992, pp.61-70.
13. Yu Li, Liu Lu and Li Xuefeng, "A hybrid collaborative filtering method for multiple-interests and multiple-content recommendation in ECommerce", Expert Systems with Applications, Vol. 28, Elsevier, 2005, pp.67-77.
14. J. Breese, D. Heckerman and C. Kadie, "Empirical analysis of predictive algorithms for collaborative filtering", Proc. of the 4th Annual Conference on Uncertainty in Artificial Intelligence, 1998.
15. Schein, A. I., Popescul, A., Ungar, L. H., and Pennock, D. M., "Generative models for cold start recommendations", Proc. of the ACMSIGIR Workshop on Recommender Systems, 2001.
16. Yin Hang, Chang Guiran and Wang Xingwei, "A cold-start recommendation algorithm based on new user's implicit information and multi-attribute rating matrix", Proc. of the 9th International Conference on Hybrid Intelligent Systems, 2009, pp.253-260.
17. Jun Wang, Arjen P. de Vries and Marcel J. T. Reinders, "Unifying userbased and item-based collaborative filtering approaches by similarity fusion", Proc. of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, 2006, pp.501-508.
18. B. Sarwar, G. Karypis, J. Konstan, J. Reidl, "Item-based collaborative filtering recommendation algorithms", Proc. of the 10th International Conference on World Wide Web, 2001, pp. 285-295.
19. F. Fouss, A. Pirotte, J.-M. Renders, M. Saerens, "Random-walk computation of similarities between nodes of a graph with application to collaborative recommendation", IEEE Trans. on Knowledge and Data Eng., Vol. 19, No. 3, 2007, pp. 355-369. (Pubitemid 46374533)
20. C. Zeng, C.-X. Xing, L.-Z. Zhou, X-H. Zheng, "Similarity measure and instance selection for collaborative filtering", International Journal of Electronic Commerce, Vol. 8, No. 4, 2004, pp. 115-129. (Pubitemid 39026786)
21. Hyeong-Joon Kwon, Tae-Hoon Lee, Jung-Hyun Kim and Kwang-Seok Hong, "Improving prediction accuracy using entropy weighting in collaborative filtering", Proc. of Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing, 2009, pp.40-45.
22. Buhwan Jeong, Jaewook Lee and Hyunbo Cho, Improving memorybased collaborative filtering via similarity updating and prediction modulation", Information Sciences, Vol. 18 , No. 5, 2010, pp.602-612.
23. J. L. Herlocker, J.A. Konstan, L.G. Terveen, J. Riedl, "Evaluating collaborative filtering recommender systems", ACM Transactions on Information Systems, Vol. 22, No. 1, 2004, pp.5-53.
24. B. N. Miller, I. Albert, S.K. Lam, J.A. Konstan, J. T. Riedl, "MovieLens unplugged: Experiences with an occasionally connected recommender system on four mobile devices", Proc. of the 2003 International Conference on Intelligent User Interfaces, 2003, pp.263-266.