Young-Woo Seo

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Publications by Young-Woo Seo (bibliography)

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Seo, Young-Woo and Zhang, Byoung-Tak (2000): A Reinforcement Learning Agent for Personalized Information Filtering. In: Lieberman, Henry (ed.) International Conference on Intelligent User Interfaces 2000 January 9-12, 2000, New Orleans, Louisiana, USA. pp. 248-251. Available online

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, OUT approach learns user preferences implicitly from direct observations of user behaviors during interaction. Field tests have been made which involved 7 users reading a total of 7,700 HTML documents during 4 weeks. The proposed method showed superior performance in personalized information filtering compared to the existing relevance feedback methods.

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Changes to this page (author)

25 Feb 2010: Enabled abstracts to be shown on Young-Woo Seo's author page.
28 Apr 2003: Added the author to the bibliography

Publication statistics

Publication period:2000-2000
Publication count:1
Number of co-authors:1



Productive colleagues

Young-Woo Seo's 3 most productive colleagues in number of publications:

Byoung-Tak Zhang:2


Collaboration count

Number of publications with 3 favourite co-authors:

Byoung-Tak Zhang:1

 

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Mar 21

Software design is the act of determining the user's experience with a piece of software. It has nothing to do with how the code works inside, or how big or small the code is. The designer's task is to specify completely and unambiguously the user's whole experience.

-- David Liddle, From Bringing Design to Software, edited by Terry Winograd, 1996

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