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Abstract: This paper describes a method for learning user's interests in the Web-based personalized information filtering system called WAIR. The proposed method analyzes user's reactions to the presented documents and learns from them the profiles for the individual users. Reinforcement learning is used to adapt the term weights in the user profile so that user's preferences are best represented. In contrast to conventional relevance feedback methods which require explicit user feedbacks, our approach... (Update)
Context of citations to this paper: More
.... implemented as WAIR (Web Agents for Information Retrieval) a platform for Web based personalized information filtering services [Seo and Zhang, 2000]. The paper is organized as follows. In Section 2, we review previous approaches to information filtering and relate them to our...
.... method was implemented as web agents f or information retrieval ( WAIR) a platform for Web based personalized information ltering (Seo Zhang, 2000) . RELATED WORK A general model for information retrieval is the vector space model that represents queries and documents as...
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BibTeX entry: (Update)
Seo, Y.-W. and Zhang, B.-T. 2000. A reinforcement learning agent for personalized information filtering, In Proc. Int. Conf. on Intelligent User Interfaces (IUI-2000), pp.248-251. http://citeseer.comp.nus.edu.sg/315628.html More
@misc{ seo00reinforcement,
author = "Y. Seo and B. Zhang",
title = "A reinforcement learning agent for personalized information filtering",
text = "Seo, Y.-W. and Zhang, B.-T. 2000. A reinforcement learning agent for personalized
information filtering, In Proc. Int. Conf. on Intelligent User Interfaces
(IUI-2000), pp.248-251.",
year = "2000",
url = "citeseer.comp.nus.edu.sg/315628.html" }
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