A Reinforcement Learning Approach to Achieve Unobtrusive and Interactive Recommendation Systems for Web-Based Communities-Reference-Cited by-同舟云学术

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A Reinforcement Learning Approach to Achieve Unobtrusive and Interactive Recommendation Systems for Web-Based Communities

Published:2004 Issue: Volume: Page:409-412
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Hernandez Felix,Gaudioso Elena,Boticario Jesús G.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-27780-4_62

Reference7 articles.

1. Lecture Notes in Computer Science;F. Hernandez,2003

2. Lieberman, H.: Letizia: An agent that assists web browsing. In: Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence (IJCAI 1995), Montreal, Quebec, Canada, pp. 924–929. Morgan Kaufmann publishers Inc, San Francisco (1995)

3. Mladenic, D.: Personal webwatcher: Implementation and design. Technical Report IJS-DP- 7472, Department of Intelligent Systems, J.Stefan Institute, Slovenia (1996)

4. Pazzani, J., Muramatsu, J., Billsus, D.: Syskill & webert: Identifying interesting web sites. In: Proceedings of the National Conference on Artificial Intelligence, vol. 1, pp. 54–61 (1996)

5. Schwab, I., Kobsa, A.: Adaptivity through unobstrusive learning. KI 3(5-9) (2002)

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