X. Shixiong, Yuan Guan, Zhang Lei, Deng Zhiwen, X. Jingyan
{"title":"Study on Wap Self-Adapt Based on Web Usage Mining","authors":"X. Shixiong, Yuan Guan, Zhang Lei, Deng Zhiwen, X. Jingyan","doi":"10.1109/CCCM.2008.210","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":326534,"journal":{"name":"2008 ISECS International Colloquium on Computing, Communication, Control, and Management","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 ISECS International Colloquium on Computing, Communication, Control, and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCCM.2008.210","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
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.