A method for tuning user profiles based on analysis of user preference dynamics in document retrieval systems

Authors:
Bernadetta Mianowska;Ngoc Thanh Nguyen
Affiliations:
Institute of Informatics, Wroclaw University of Technology, Wroclaw, Poland;Institute of Informatics, Wroclaw University of Technology, Wroclaw, Poland
Venue:
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part I
Year:
2012

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Tuning user profiles based on analyzing dynamic preference in document retrieval systems

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Abstract

Modeling users' information interests and needs is one of the most important tasks in the area of personalization in information retrieval domain. In this paper the statistical model of information retrieval system is considered. A method for tuning the user profile based on analysis of user preferences dynamics is experimentally evaluated to check whether with growing history of user activity the created user profile can come closer to his preferences. As statistical analysis of series of simulations have shown, proposed method of user profile actualization is effective in the sense of distance between user preferences and his profile.