Research on mining algorithm of frequent access path of e-commerce users

To meet users´ needs to the utmost, providing immediate and active information services becomes the most important issue in the development of e-commerce. The paper does some algorithm research on Web log from the perspective of Web usage mining, and gets the result Sets of user frequent Access Path. The paper firstly collects log records for analysis from the Web server, and cleans and tidies the log records, and then forms the user´s session or affair document for data mining services; finally, through the mining algorithms defined, the paper gets the table of all user frequent access paths, thus to provide support to the personalized services of e-commerce enterprises.