Abstract
At present, how to enable Search Engine to construct user personal interest model initially, master user’s personalized information timely and provide personalized services accurately have become the hotspot in the research of Search Engine area. Aiming at the problems of user model’s construction and combining techniques of manual customization modeling and automatic analytical modeling, a User Interest Model (UIM) is proposed in the paper. On the basis of it, the corresponding establishment and update algorithms of User Interest Profile (UIP) are presented subsequently. Simulation tests proved that the UIM proposed and corresponding algorithms could enhance the retrieval precision effectively and have superior adaptability.
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Foundation item: Supported by the National Natural Science Foundation of China (50674086), the Doctoral Foundation of Ministry of Education of China (20060290508) and the Youth Scientific Research Foundation of CUMT (0D060125)
Biography: LI Zhengwei(1977–), male, Ph.D. candidate, research direction: personalized service and information retrieval.
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Li, Z., Xia, S., Niu, Q. et al. Research on the User Interest Modeling of personalized Search Engine. Wuhan Univ. J. of Nat. Sci. 12, 893–896 (2007). https://doi.org/10.1007/s11859-007-0002-3
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DOI: https://doi.org/10.1007/s11859-007-0002-3