| User Browsing Patterns and Page Recommendation is one of the hottest researchpots.With the use of Internet, the data in Internet are more and more huge. People haveimminency needs to find out the "interested" information from the user browsing log. PageRecommadention means that put the highest frequency page in the index page on the baseof user browsing patterns, or modify the link between index page and frequency pages.This paper analyses the meaning of user browsing patterns and pagereconmmendation, introduces the algorithms of Web log mining, as well as the ant colonyalgorithms.And analyse the flow, time and space complication with TSP problem asexample.This paper also analyses the feasibility that using ant colony to mine the Web log anddesigns the basic ant colony minging algorithms. Through analyse the characteristic ofectohormone diffuseness, and is imported into Web log minig. At last, design thealgorithms based on ectohormone diffuseness.At last, this paper designs and carris out the whole Web log mining system, includinglog pretreatment, minging algorithms and minging result. In the minging algorithms,design two ant colony mining algorithms: basic ant colony algorithms and ant colonyalgorithms based on ectohormone diffuseness. And compare the parameters, ant number,and convergence of two algorithms through series of experimentations. |
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