Hierarchical agglomerative clustering for agent-based dynamic collaborative filtering

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

Volumn 3177, Issue , 2004, Pages 827-832

  Uchyigit, Gulden ^a   Clark, Keith ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 35048838198     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-28651-6_123     Document Type: Article

References (12)

1. J. Konstan, B. Miller, D. Maltz, J. Herlocker, L. Gordon and J. Riedl.: GroupLens:Applying Collaborative Filtering to Usenet News. Communications of the ACM. March 1997.
2. G. Salton and M. Gill. Introduction to Modern Information Retrieval. McGraw-Hill, New York, 1983.
3. Shardanand, U., and Maes, P. Social information Filtering: Algorithm for Automating "Word of Mouth". In Proceedings of CHI'95 1995.
4. Uchyigit, G. and Clark, K. An Agent Based Electronic Program Guide. Workshop on Personalization in Future TV in conjunction with 2nd International Conference on Adaptive Hypermedia and Adaptive Web Based Systems , May 2002 Malaga Spain, (Springer-Verlag Lecture Notes in Computer Science).
5. Loren Terveen, Will Hill, Brian Amento, David McDonald and Josh Creter.: PHOAKS: A System for Sharing Recommendations. Communications of the ACM. March 1997.
6. Henry Kautz, Bart Selman and Mehul Shah.: Refferal Web: Combining Social Networks and Collaborative Filtering. Communications of the ACM. March 1997.
7. Everitt, B. "Cluster Analysis", Haslsted Press (John Wiley and Sons), New York, 1980.
8. Rasmussen, E. "Information Retrieval, Data Structure and Algorithms", Chapter 16: Clustering Algorithms, W. B. Frakes and R.Baeza-Yates, eds., Prentice Hall 1992.
9. Willett P. , "Recent trends in hierarchic document clustering: a critical review", in Information Processing and Management, 34:5, 1988.
10. Basu C, Hirsh H. and Cohen W. Recommendation as classification: Using Social and content-based information in recommendation. In proceedings of the Fifteenth National Conference on Artificial Intelligence, pages 714-720, 1998.
11. Claypool M, Gokhale A. and Miranda T. Combining content-based and collaborative filters in an online newspaper. In proceedings of the ACM SIGIR Workshop on Recommender Systems- Implementation and Evaluation, 1999.
12. Good N, Schafer J. B, Konstan J. A, Brochers A, Sarwar B. M, Herlocker J: L, and Riedl J. Combining collaborative filtering with personal agents for better recommendations. In proceedings of the Sixteenth National Conference on Artificial Intelligence, pages 439-446 1999.