Implicit measures of user interests through Geographical region and predicting users’ future requests in WWW
Nowadays Web users are facing the problems of information overload and drowning due to the significant and rapid growth in the amount of information and the number of users. As a result, how to provide Web users with more exactly needed information is becoming a critical issue in web-based information retrieval and Web applications. In this work, we aim to address improving the performance of Web information retrieval and Web presentation through developing and employing Web data mining paradigms. Web data mining is a process that discovers the basic relationships among Web data, which are expressed in the forms of textual, linkage or usage information, via analyzing the features of the Web and web-based data using data mining techniques. Particularly, we concentrate on discovering Web usage pattern via Web usage mining, and then utilize the discovered usage knowledge for presenting Web users with more personalized Web contents, i.e. Web Personalization. In this paper, we focused on Web usage mining. Web usage mining relies on the application of data mining methods to the Web log data, resulting in a set of useful patterns that indicate user’s navigation behavior. We will focus on Web Personalization of Web-site according to Geographical location (e.g. Country) of the user. For accomplishment of this work we will take raw database of access log of any Web-site server then analyze that data and recognize a pattern or gain Knowledge from that pattern. To implement or analyze this database we used database tool of MATLAB 7.0 “Visual-Query-Builder. To implement the system realistic Web log data of NASA Server of July month from year 1995.
Web-Mining IP Address Web-log Web Personalization Web-Usage Mining
Arjun Rajput Nishchol Mishra
School of Information Technology Rajiv Gandhi Technological University Bhopal, MP, India
国际会议
北京
英文
2328-2332
2009-08-08（万方平台首次上网日期，不代表论文的发表时间）