Personalized movie recommender system through hybrid 2-way filtering with extracted information

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 3055, Issue , 2004, Pages 473-486

  Jung, Kyung Yong ^a   Park, Dong Hyun ^a   Lee, Jung Hyun ^a  

^a Inha University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; INFORMATION ANALYSIS; LEARNING SYSTEMS; PATTERN RECOGNITION; WEBSITES; COLLABORATIVE FILTERING; MOTION PICTURES; RECOMMENDER SYSTEMS;

CONTENT-BASED FILTERING; INFORMATION FILTERING; PERSONALIZED RECOMMENDER SYSTEMS;

INFORMATION RETRIEVAL; INFORMATION FILTERING;

CONTENT BASED FILTERING; ON-LINE EXPERIMENTS; PERSONALIZED RECOMMENDATION; PERSONALIZED RECOMMENDER SYSTEMS;

EID: 9444228349     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-25957-2_37     Document Type: Conference Paper

References (18)

1. M. Ahmad Wasfi, "Collecting User Access Pattern for Building User Profiles and Collaborative Filtering, " In Proc. of the International Conference on Intelligent User Interfaces, pp. 57-64, 1999.
2. M. Balabanovic, Y. Shoham, "Fab: Content-based, Collaborative Recommendation, " Communication of the Association of Computing Machinery, Vol. 40, No. 3, pp. 66-72, 1997.
3. D. Billsus, M. J. Pazzani, "Learning Collaborative Information Filters, " In proc. of the International Conference on Machine Learning, 1998.
4. J. S. Breese, C. Kadie, "Empirical Analysis of Predictive Algorithms for Collaborative Filtering, " In Proc. of the Conference on Uncertainty in Artificial Intelligence, Madison, WI, 1998.
5. N. Good, et al., "Combining Collaborative Filtering with Personal Agents for Better Recommendations, " In Proc. of National Conference on Artificial Intelligence, pp. 439-446, 1999.
6. K. Y. Jung, J. H. Lee, "Prediction of User Preference in Recommendation System using Association User Clustering and Bayesian Estimated Value, " In Proc. of 15th Australian Joint Conference on Artificial Intelligence, LNAI 2557, pp. 284-296, 2002.
7. K. Y. Jung, et al., "Development of Design Recommender System using Collaborative Filtering, " In Proc. of 6th International Conference of Asian Digital Libraries, LNCS 2911, pp. 100-110, 2003.
8. S. Kangas, "Collaborative Filtering and Recommendation Systems, " Technical Report TTE4-2001-35, VTT Information Technology, 2001.
9. A. Kohrs, et al. "Improving Collaborative Filtering with Multimedia Indexing Techniques to Create User-Adapting Web Sites, " In Proc. of the 7th ACM International Conf. on Multimedia, pp. 27-36, 1999.
10. W. S. Lee, "Collaborative Learning for Recommender Systems, " In Proc. of the 18th International Conf. on Machine Learning, pp. 314-321, 1997.
11. H. Lieberman, "Letizia: An Agent that Assists Web Browsing, " In Proc. of the 14th International Joint Conference on Artificial Intelligence, 1997.
12. P. McJones, EachMovie dataset, URL: http://www.research.digital.com/SRC/eachmovie
13. P. Melville, et al., "Content-Boosted Collaborative Filtering for Improved Recommendations, " In Proc. of the National Conference on Artificial Intelligence, pp. 187-192, 2002.
14. T. Mitchell, Machine Learning, McGraw-hill, New York, pp. 154-200, 1997.
15. M. J. Pazzani, "A Framework for Collaborative, Content-based and Demographic Filtering, " Artificial Intelligence Review, 13(5-6), pp. 393-408, 1999.
16. A. Pretschner, S. Gauch, "Personalization on the Web, " Technical Report ITTC-FY2000-TR-13591-01, Information and Telecommunication Technology Center, Dept. of Electrical Engineering and Computer Science, The University of Kansas, 1999.
17. U. Shardanand, P. Maes, "Social Information Filtering: Algorithm: Algorithms for Automating "Word of Mouth", " In Proc. of the Human Factors in Computing System Conference, Denver, 1995.
18. J. Rucker, M. J. Polanco, "SiteSeer: Personalized Navigation for the Web, " Communications of the Association of Computing Machinery, Vol. 40, No. 3, pp. 73-75, 1997.