Adaptive user profile model and collaborative filtering for personalized news

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3841 LNCS, Issue , 2006, Pages 474-485

  Wang, Jue ^a   Li, Zhiwei ^b   Yao, Jinyi ^b   Sun, Zengqi ^a   Li, Mingjing ^b   Ma, Wei Ying ^b  

^a TSINGHUA UNIVERSITY   (China)

^b MICROSOFT RESEARCH ASIA   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; COMPUTER SUPPORTED COOPERATIVE WORK; INFRARED RADIATION; MATHEMATICAL MODELS; MULTILAYERS; PROBLEM SOLVING; TREES (MATHEMATICS); USER INTERFACES;

COLLABORATIVE FILTERING; CONTENT-BASED FILTERING (CBF); PERSONALIZED NEWS; USER PROFILE MODELING;

ADAPTIVE FILTERING;

EID: 33745667997     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11610113_42     Document Type: Conference Paper

References (15)

1. D. Billsus, and M. J. Pazzani. A Personal News Agent that Talks, Learns and Explains. In Proceedings of the Third International Conference on Autonomous Agents, 1999.
2. D. H. Widyantoro, T. R. Ioerger, and J.Yen. An Adaptive Algorithm for Learning Changes in User Interests. In Proceedings of the Eighth International Conference on Information and Knowledge Management (CIKM'99), 1999.
3. C. C. Chen, M Chen, and Y. Sun. PVA: A Self-Adaptive Personal View Agent. In Proceedings of the Seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001
4. N. Nanas, V. Uren, and A. D. Roeck. Building and applying a concept hierarchy representation of a user profile. In Proceedings of the 26th annual international ACM SIGIR conference on Research and development in information retrieval, 2003
5. A. Pretschner, and S. Gauch. Ontology Based Personalized Search. In 11th IEEE Intl. Conf. On Tools with Artificial Intelligence, 1999
6. P. Resnick, N. Jacovou, and M Suchak. Grouplens: An Open Architecture for Collaborative Filtering of Netnews. In Proceeding of the ACM 1994 Conference on Computer Supported Cooperative Work, 1994.
7. T. Hofmann. Collaborative Filtering via Gaussian Probabilistic Latent Semantic Analysis. In Proceedings of the 26th annual international ACM SIGIR conference on Research and development in information retrieval, 2003
8. L. Si, and R. Jin. Flexible mixture model for collaborative filtering. In Proceedings of the Twentieth International Conference on Machine Learning, 2003
9. J. Herlocker, J. Konstan, A. Borchers, and J. Riedl. An algorithmic framework for performing collaborative filtering. In Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval, 1999
10. Z. Li, B. Wang, and M. Li. Probabilistic Model of Retrospective News Event Detection. In Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval, 2005
11. P. Melville, R. J. Mooney, and R. Nagarajan. Content-Boosted Collaborative Filtering for Improved Recommendations. In Proceedings of the the Eighteenth National Conference on Artificial Intelligence (AAAI), 2002.
12. P. Ganesan, H. Garcia-Molina, and J. Widom. Exploiting hierarchical domain structure to compute similarity. ACM Transactions on Information Systems (TOIS) archive Volume 21, Issue I, January 2003
13. J. Herlocker, J. Konstan, and L. G. Terveen. Evaluating collaborative filtering recommender systems. ACM Transactions on Information Systems (TOIS), Volume 22 Issue 1, 2004
14. P. N. Klein. Computing the Edit-Distance between Unrooted Ordered Trees. Lecture Notes in Computer Science, Volume 1461, Chapter p. 91, 2003
15. K. Yu, V. Tresp, and S.Yu. A Nonparametric Hierarchical Bayesian Framework for Information Filtering. In Proceedings of the 27th annual international conference on Research and development in information retrieval, 2004