Liu Xiao-liang

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this paper describes the Web data mining technology, Web data mining process, data sources and uses, designs a personalized recommendation system based on Web use mining for e-commerce, and discusses in detail the function of each module of the system and implementation techniques. Through the mining of the historical log data of Web server, the system can(More)
Classical collaborative filtering recommendation is the most successful recommendation algorithm in electronic commerce system application. However, along with the continuous increase of site structure, content complexity and user number, data is extremely sparse and the real-time property and recommendation accuracy of algorithm decrease significantly,(More)
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