Abstract
By analyzing the WWW Cache model, we bring forward a user-interest description method based on the fuzzy theory and user-interest inferential relations based on BP (back propagation) neural network. By this method, the users' interest in the WWW cache can be described and the neural network of users' interest can be constructed by positive spread of interest and the negative spread of errors. This neural network can infer the users' interest. This model is not the simple extension of the simple interest model, but the round improvement of the model and its related algorithm.
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Foundation item: Supported by the Outstanding Young Young Scientist's Fund of the National Natural Science Foundation of China (60303024), the National Natural Science Foundation of China (90412003). National Grand Fundamental Research 973 Program of China (2002CB312000). Doctor Foundation of Ministry of Education (20020286004). Opening Foundation of Jiangsu Key Laboratory of Computer Information Processing Technology in Soochow University, Natural Science Research Plan for Jiang Su High School (04kjb520096), Doctor Foundation of Nanjing University of Posts and Telecommunications (2003-02).
Biography: ZHANG Wei-feng (1975-), male. Associate professor. Ph. D. research direction: Web technologies, artificial intelligence, search engine, data mining, network language.
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Wei-feng, Z., Bao-wen, X., Xiao-fang, Z. et al. BP network based users’ interest model in mining WWW Cache. Wuhan Univ. J. Nat. Sci. 11, 243–247 (2006). https://doi.org/10.1007/BF02831740
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DOI: https://doi.org/10.1007/BF02831740