A Personalized Search Based on Context Related Models

In recent years, with the rapid development of the World Wide Web, huge amount of data arises in our daily life. Which approach should be taken to assist users when searching the information they need is the point. For users, when facing the same resources, they more commonly annotate them or input search queries according to their own perspectives. This process has been already proven as a time-consuming. Based on the goal, we propose our methodology that to combine user's context, users' profile with users' Folksonomies together to optimize personal search. And at the end of this paper, we make an experiment to evaluate our methodology and which performs better.