Personal content recommender based on a hierarchical user model for the selection of TV programmes

User Modelling and User-Adapted Interaction

Volumn 15, Issue 5, 2005, Pages 425-457

  Pogacnik, Matevz ^a   Tasic, Jurij ^a   Meza, Marko ^a   Kosir, Andrej ^a  

^a UNIVERSITY OF LJUBLJANA   (Slovenia)

Author keywords

Hierarchical user model; Multimedia; Support vector machines; TV programmes; Updating of the user model; User modeling

Indexed keywords

HIERARCHICAL USER MODELS; SUPPORT VECTOR MACHINES; TV PROGRAMS; UPDATING OF THE USER MODEL; USER MODELING;

CLASSIFICATION (OF INFORMATION); HIERARCHICAL SYSTEMS; MATHEMATICAL MODELS; TELEVISION SYSTEMS;

MULTIMEDIA SYSTEMS;

EID: 28344435362     PISSN: 09241868     EISSN: 15731391     Source Type: Journal    
DOI: 10.1007/s11257-005-4065-6     Document Type: Article

References (36)

1. Ahanger, G. and Little, T.: 2001, Data semantics for improving retrieval performance of digital news video systems. IEEE Transactions on knowledge and data engineering 13(3), 352-360.
2. Ardissono, L., Gena, C., Torasso, P., Bellifemine, F., Chiarotto, A., Difino, A. and Negro, B.: 2004, User Modeling and Recommendation Techniques for Personalized Electronic Program Guides. Personalized Digital Television. Targeting Programs to Individual Viewers. Kluwer Academic Publishers, Human-Computer Interaction Series, Vol. 6, pp. 3-26.
3. Balabanovic, M. and Shoham, Y.: 1997, Combining content-based and collaborative recommendation. Communications of the ACM 40(3), 66-72.
4. Baudisch, P.: 1998, Recommending TV programs How far can we get at zero user effort. Recommender Systems: Papers from the 1998 AAAI Workshop, Technical Report WS-98-08, Madison Wisconsin, pp. 16-18.
5. Bezerra, B., Carvalho, F., Ramalho, G. and Zucker, J. D. Speeding up Recommender Systems with Meta-prototypes. Lecture Notes in Computer Science, Advances in Artificial Intelligence, 16th Brazilian Symposium on Artificial Intelligence - SBIA 2002, Brazil, Springer-Verlag GmbH, pp. 227-236, November 2002.
6. Billsus, D. and Pazzani, M. J.: 1999, A hybrid user model for news story classification. In: Proceedings of the Seventh International Conference on User Modeling, Banff, Canada, pp. 99-108.
7. Breese, J. S., Heckerman, D. and Kadie, C.: 1998, Empirical analysis of predictive algorithms for collaborative filtering. In: Proceedings of the fourteenth conference on uncertainty in artificial intelligence, Madison, USA, Morgan Kaufmann Publisher, pp. 43-52.
8. Burke, R.: 2002, Hybrid recommender systems survey and experiments. User Modeling and User Adapted Interaction, 12, 331-370.
9. Chang, C. and Lin, C.: 2003, Libsvm: a library for support vector machines. ELEC-TRONIC VERSION (http://www.csie.ntu.edu.twcjlin/papers/libsvm. pdf).
10. Draper, S., Earnshaw, N., Montie, E., Parnall, S. et al.: 1999, TV-Anytime. Paper presented at the opening of the IBC99 conference.
11. Greenspan R. Remote Power - Can PVRs kill TV spots? CyberAtlas, The newsletter for Web marketers, Ver 5.47, 22 September 2003, http://cyberatlas. internet.com/markets/advertising/article/05941_3080851.00.html
12. Gudivada, N. V., Raghavan, V. V., Grosky, I. W. and Kasanatogu, R.: 1997, Information retrieval on the world wide web. IEEE Internet Computing, 1(5) 58-68.
13. Hand, D. J., Mannilla, H. and Smyth, P.: Principles of data mining, The MIT Press, Cambridge, Massachusetts, USA, pp. 449-485, 2001.
14. Internet movie database web site (INDB), 2003, http://www.imdb.com.
15. Korte, B. and Vygen, J.: 1991, Combinatorial Optimization. Springer-Verlag, Berlin.
16. Kobsa, A., 2001, Generic user modeling systems, User Modeling and user adapted interaction, 11, 49-63.
17. Kurapati, K. and Gutta, S.: 2002, TV personalization through stereotypes. In Proceedings of the AH2002 Workshop on personalisation in future TV, Malaga, Spain.
18. Kurapati, K., Gutta, S., Schaffer, D., Martino, J. and Zimmerman J.: 2001, A multi agent TV recommender. In: Proceedings of the UM 2001 Workshop on Personalization in Future TV, Sonthofen, Germany.
19. Lee, H., Lee, H., Nam, J. and Bae, B.: 2002, Personalized contents guide and browsing based on user preference. In: Proceedings of the AH2002 Workshop on personalisation in future TV, Malaga, Spain.
20. Masthoff, J.: 2004 Group modeling: Selecting a sequence of television items to suit a group of viewers. User Modeling and user adapted interaction, 14, 37-85.
21. Manjunath, B. S., Salembier, P. and Sikore, T.: 2002, Introduction to MPEG-7, multimedia Description Interface, John Wiley & sons Ltd., England, pp. 163-175.
22. Michalski, R. S., Bratko, I. and Kubat, M.: 1988, Machine Learning and Data Mining-Methods and Applications. John Wiley and Sons, Chichester, England.
23. Miller, G. A., Beckwith, R., Fellbaum C., Gross, D. and Miller K. J.: 1933, Introduction to WordNet: An online lexical database. Technical Report CSL 43, Cognitive Science Laboratory, Princeton University.
24. myTV project IST-1999-11702. Personalised services for digital television - Final report, 2000, ELECTRONIC VERSION (http://www.extra.research.philips. com/euproject/mytv/).
25. O'Sullivan, D., Smyth, B., Wilson, D.C., McDonald, K. and Smeaton A.: 2004, Improving the quality of the personalized electronic program guiden. User Modeling and User Adapted Interaction, 14, 5-36.
26. Porter, M. F.: 1980 An algorithm for suffix stripping. Program, Automated Library and Information Systems, 14, 130-137.
27. Salton, G. and McGill, M.: 1983, An Introduction to Modern Information Retrieval. McGraw-Hill.
28. Share it! project IST-2000-28703. Public project description, Deliverable No.0. 2001, ELECTRONIC VERSION (http://www.extra.research.philips.com/ euprojects/share_it/deliverables/share-it-de100.pdf).
29. Smyth, B. and Cotter, P.: 1999, Surfing the digital wave: Generating personalised TV listings using collaborative case-based recommendation. In: Proceedings of 3rd International Conference on Case-Based Reasoning, Lecture Notes in Artificial Intelligence, Vol. 1650, pp. 561-571.
30. Stark, H. and Woods, J. W.: 2002, Probability and Random Processes with Applications to Signal Processing. Prentice Hall, New Jersey.
31. O'Sullivan, D., Wilson, D. and Smyth, B.: 2002, Improving case-based recommendation: A Collaborative Filtering Approach. In: Proceedings of the 6th European conference on case-based reasoning, ECCBR 2002, Springer Verlag, pp. 278-291.
32. TiVo: The official TiVo web site. http://www.tivo.com, 2003.
33. TVAnytime: Specification series: S-3 metadata, SP0003 v1.3, part A, 2002, ELECTRONIC VERSION (ftp://tva:tva@ftp.bbc.co.uk/pub/Specifications/SP003v13. zip).
34. TVAnytime: Requirements series: R-1 Business models, RQ001v20, final release, August 2003 ELECTRONIC VERSION (ftp://tva:tva@ftp.bbc.co.uk/pub/ Specifications/RQ0001v20.zip).
35. Uchyigit, G. and Clark, K.: 2002, An agent based electronic program guide. In: Proceedings of the AH2002 Workshop on personalisation in future TV, Malaga, Spain.
36. Zimmerman, J., Kurapati, K., Buczak, A., Schaffer, D., Gutta, S. and Martino, J.: 2004, TV Personalization system. Design of a TV Show Recommender Engine and Interface. Personalized Digital Television. Targeting Programs to Individual Viewers. Kluwer Academic Publishers, Human-Computer Interaction Series, Vol. 6.