An automatic recommendation scheme of TV program contents for (IP)TV personalization

IEEE Transactions on Broadcasting

Volumn 57, Issue 3, 2011, Pages 674-684

  Kim, Eunhui ^a   Pyo, Shinjee ^a   Park, Eunkyung ^a   Kim, Munchurl ^a  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

Author keywords

Collaborative filtering; content based filtering; TV personalization; TV program recommendation

Indexed keywords

AVERAGE NORMALIZED MODIFIED RETRIEVAL RANKS; COLLABORATIVE FILTERING; CONTENT BASED FILTERING; EXPLICIT RATINGS; PERSONALIZATIONS; PERSONALIZED RECOMMENDATION; RANKING MODEL; TV PROGRAM RECOMMENDATION; TV PROGRAMS; TV SERVICES; USERS' INTERESTS;

INTERNET PROTOCOLS;

EID: 80052060566     PISSN: 00189316     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBC.2011.2161409     Document Type: Article

References (22)

1. M. Montaner, B. Lopez, and J. L. DE Larosa, "A taxonomy of recommender agents on the Internet", AI Rev., vol. 19, pp. 285-330, 2003.
2. R. Bruke, "Hybrid recommender systems: Survey and experiments", User Modeling and User-Adapted Interaction, vol. 12, no. 4, pp. 331-370, Nov. 2002.
3. 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. Knowl. Data Eng., vol. 17, no. 6, pp. 734-749, Jun. 2005. (Pubitemid 40860454)
4. P. Cotter and B. Smyth, "PTV: Intelligent personalized TV Guides", Amer. Assoc. AI, pp. 957-964, 2000.
5. M. Pazzani and D. Billsus, "Learning and revising user profiles: The identification of interesting web sites", Machine Learning, vol. 27, pp. 313-331, 1997. (Pubitemid 127510033)
6. N. Good, J. B. Schafer, J. A. Konstan, A. Borchers, B. Sarwar, J. Herlocker, and J. Riedl, "GroupLens research project, combining collaborative filtering with personal agents for better recommendations", Amer. Assoc. AI, 1999.
7. S. E. Robertson, S. Walker, M. Beaulieu, M. Gatford, and A. Payne, "Okapi at TREC-4", in 4th Text Retrieval Conf. (TREC-4), 1995, pp. 73-96.
8. S. E. Robertson and K. Spark Jones, "Relevance weighting of search terms", J. Amer. Soc. Inf. Sci., vol. 27, pp. 129-146, 1976.
9. S. E. Robertson and S. Walker, Some Simple Effective Approximations to the 2-Poisson Model for Probabilistic Weighted Retrieval. New York: Springer-Verlag, 1994, pp. 232-241.
10. P. Resnick, N. Iacovou, M. Suchak, P. Bergstrom, and J. Riedl, "Grouplens: An open aArchitecture for collaborative filtering of netnews", in ACMConf. Comput. Supported Cooperative Work, 1994, pp. 175-186.
11. M. Deshpande and G. Karvpis, "Item-based top-N recommendation algorithms", ACM Trans. Inf. Syst., vol. 22, no. 1, pp. 143-177, Jan. 2004.
12. J. Wang, J. Powelse, J. Fokker, A. Vreies, and M. Reinders, "Personalization on a peer-to-peer television system", Multimedia Tools Appl., vol. 36, no. 1/2, pp. 89-103, 2007.
13. J. Lafferty and C. Zhai, "Probabilistic relevance models based on document and query generation", Language Modeling Inf. Retrieval, 2002.
14. M. J. L. De Hoon, S. Imoto, J. Nolan, and S. Miyano, "Open source clustering software", Bioinfomatics, p. 781, 2004.
15. D. P. Vetrov and L. I. Kuncheva, "Evaluation of stability of K-means cluster ensembles with respect to random initialization," IEEE Trans. PAMI, vol. 28, no. 11, pp. 1798-1808, 2006. (Pubitemid 46405427)
16. G. Xue, C. Lin, Q.Yang, W. Xi, H. Zeng, Y.Yu, and Z. Chen, "Scalable collaborative filtering using cluster-based smoothing," in ACM SIGIR, Aug. 2005, pp. 114-121.
17. T. Sergios and K. Konstantions, Pattern Recognition, 3rd ed. New York: Academic Press, 2006, pp. 572-582.
18. R. Duda, P. Hart, and D. Stork, Pattern Classification, 2nd ed. New York: Wiley-Interscience, 2001, pp. 542-559.
19. B. S. Manjunath, J.-R. Ohm, V. V. Vasudevan, and A. Yamada, "Color and texture descriptors," IEEE Trans. Circuits Syst. Video Technol., vol. 11, no. 6, pp. 703-715, Jun. 2001. (Pubitemid 32616532)
20. P. Ndjiki-Nya, J. Restat, T. Meiers, J.-R. Ohm, A. Seyferth, and R. Sniehotta, "Subjective evaluation of the MPEG-7 retrieval accuracy measure (ANMRR)," in ISO/WG11 MPEG Meeting, Geneva, Switzerland, May 2000, Doc. M6029.
21. W. Ka-Man and P. Lai-Man, "MEPG-7 dominant color descriptor based relevance feedback usingmerged palette histogram," in IEEE Int. Conf. Acoust., Speech, Signal Process., May 2004, vol. 3, pp. 433-436.
22. C. D. Manning, P. Raghavan, and H. Schütze, Introduction to Information Retrieval. Cambridge, U.K.: Cambridge Univ. Press, 2008, pp. 151-175.