The design of Web portable personalization framework based on iterative profiling algorithm with time unit of weighted keywords

Portable personalization service has been proved very useful in the sharing and reusing of user personalized profiles among different platforms. We present an approach of a Web requesting framework for portable personalization service based on iterative profiling algorithm with time unit of weighted keywords and give a detailed explanation about its ideas and design principles. Some important challenges are also proposed in this paper, which involve how to acquire user personalized information to construct information storage, how to submit user interests to Web servers, and how to update user profiles with an iterative algorithm based on time unit of weighted keywords for discovering main user interests. Finally, we report some related experiments and evaluation of users´ satisfaction.