As the amount of Web information grows rapidly, search engines must be able to retrieve information according to the user's preference. In this paper, we propose a new web sea...
Kenneth Wai-Ting Leung, Dik Lun Lee, Wang-Chien Le...
: In this paper, we present an approach to refine user profiles that were derived from Web server logs in an automated procedure. In most application scenarios, such automatically ...
Personalized Web search has emerged as one of the hottest topics for both the Web industry and academic researchers. However, the majority of studies on personalized search focuse...
Jae-wook Ahn, Peter Brusilovsky, Daqing He, Jonath...
In this paper, we discuss challenges and provide solutions for capturing and maintaining accurate models of user profiles using semantic web technologies, by aggregating and shari...
Automatic adaptation of the environment to user preferences results in personalized ambients that fulfill user interaction requirements in a more suitable way. However, the proble...