Abstract
On the Internet the number of Web pages and other documents has grown so fast that it is very hard to find needed information. Search engines are still improving their retrieval methods but still many irrelevant documents are presented in the results. A solution to this problem is to get to know the user, his interests, preferences and habits and use this information in retrieval process. In this paper a user profile and its adaptation method is proposed. To evaluate the proposed method, simulation of user behaviour is described. Performed experimental evaluation shows that the distance between created user profile and user preferences is decreasing with subsequent actualization processes steps.
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Mianowska, B., Nguyen, N.T. (2011). A Method for User Profile Adaptation in Document Retrieval. In: Nguyen, N.T., Kim, CG., Janiak, A. (eds) Intelligent Information and Database Systems. ACIIDS 2011. Lecture Notes in Computer Science(), vol 6592. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20042-7_19
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DOI: https://doi.org/10.1007/978-3-642-20042-7_19
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