“Web Personalization: User‟s Future Request Prediction”: A Survey

نویسندگان

  • Ashwini Jadhav
  • Vani Hiremani
چکیده

The web mining is very interesting research topic which supports two of the activated research areas namely Data Mining and World Wide Web. The process of extracting knowledge and information from World Wide Web is defined as web mining. This paper is a survey based on recent work in the field of Web Usage Mining, an important type of web mining. It extracts required information from web log files. The essence of user future request prediction using web log record emphasizes on current evaluation and update in web usage mining. This article views comparison and differentiation of various methods focusing on user future request prediction. Analyzing these request predictions will help the organizations to realize user’s navigational behavior. We therefore present a survey of most recent work in the field of users future request predictions focusing on the overview of the development in the research. Keywords-Web logs, User session, Prediction Engine,

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تاریخ انتشار 2013