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Personalized information retrieval in digital ecosystems
2008
2008 2nd IEEE International Conference on Digital Ecosystems and Technologies
Search results personalization is considered a promising approach to boost the quality of text retrieval. In this paper, a personalized information retrieval paradigm is proposed which not only implicitly creates user profile by learning users' search history, search preferences, and desktop information by kNN algorithm; but also intends to deal with the problem of search concepts drift through adjusting the weight of category which represents users' search preference. By comparing the cosine
doi:10.1109/dest.2008.4635207
fatcat:hxxva4g2jbhyjmgwdphomfyigi