On Some Approach to Integrating User Profiles in Document Retrieval System Using Bayesian Networks

Information retrieval systems are more and more popular due to the information overload in the Internet. There are many problems that can cause this situation: user can not know his real information need when he submits a few words to the browser; these words can have many different meanings; user can expect different results depending on current context. To obtain satisfactory result, the retrieval system should save user profile and develop it. In this paper we propose a method for determining user profile based on content-based and collaborative filtering. Our approach uses Bayesian Networks to develop representative profile of the users’ group. We have performed some experiments to evaluate the quality of proposed method.

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