Towards the Identification of Important Words from the Web User Point of View

1st International Workshop on Intelligent Web Based Tools

Juan D. Velásquez ; José I. Fernández

Others  :  http://CEUR-WS.org/Vol-302/paper3.pdf
PID  :  21788

来源: CEUR

【 摘 要 】

We introduce a methodology for identifying approximately which words attract the users attention when they are visiting the pages in a web site. These words are called “web site keywords” and can be used for creating further web page text contents related with an specific topic. Through the utilization of the correct words, we can help to the users to find what they are looking for. By applying a clustering algorithm, and under the assumption that there is a correlation between the time spent in a page and the user interest, we segment the users by navigation behavior and content preferences. Next we identify the web site keywords. This methodology was applied on data originated in a real web site, showing its effectiveness.