S. Fukumura, T. Nakano, K. Harumoto, S. Shimojo, S. Nishio
{"title":"Realization of personalized presentation for digital contents based on browsing history","authors":"S. Fukumura, T. Nakano, K. Harumoto, S. Shimojo, S. Nishio","doi":"10.1109/PACRIM.2003.1235854","DOIUrl":null,"url":null,"abstract":"Recently, the tremendous amount of information is digitalized and becoming available on the World Wide Web. These digital contents are nowadays easily accessible to a lot of Internet users. However, most web sites today are comprised of a large number of web pages and hyperlinks, often making it difficult for visitors to browse through and to find their desired information quickly. To address the problem, this paper proposes a newly web site personalization method by utilizing content browsing history. Web sites based on our model consist of a set of small components, and browsing history considered as visitor's preference is used to identify components to be presented on a web page.","PeriodicalId":356671,"journal":{"name":"2003 IEEE Pacific Rim Conference on Communications Computers and Signal Processing (PACRIM 2003) (Cat. No.03CH37490)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2003 IEEE Pacific Rim Conference on Communications Computers and Signal Processing (PACRIM 2003) (Cat. No.03CH37490)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PACRIM.2003.1235854","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Recently, the tremendous amount of information is digitalized and becoming available on the World Wide Web. These digital contents are nowadays easily accessible to a lot of Internet users. However, most web sites today are comprised of a large number of web pages and hyperlinks, often making it difficult for visitors to browse through and to find their desired information quickly. To address the problem, this paper proposes a newly web site personalization method by utilizing content browsing history. Web sites based on our model consist of a set of small components, and browsing history considered as visitor's preference is used to identify components to be presented on a web page.