Study on Wap Self-Adapt Based on Web Usage Mining

Smart terminal equipments, such as mobile phone, PDA etc., develop quickly at present. At the same time, there is huge information with various formats in the society, such as image, text, table etc. How to obtain information with WAP (Wireless Application Protocol) is an emergency problem nowadays. In allusion to this issue, a study on WAP self-adapt based on Web usage logs is proposed in the paper. Under the background of the application of data mining on the Web, the user interest algorithm and the WAP page rebuild algorithm with retrieval and mining of userpsilas usage logs data are put forward., user personalize data sharing in the WAP pages is implemented combining with the relevant user content interest algorithm.