Category-based an intelligent search system using a variety of recommendation data

Abstract

As the number of Internet users and the number of accessible Web pages grows, it is becoming increasingly difficult for users to find documents that are relevant to their particular needs. In ubiquitous computing environments, personalized agents have to learn user's preferences in order to assist them. If users search using their profile data, they are able to find relevant documents. So the proposed intelligent search system is collecting information of a user activity and automatically creates the user profile. In addition, this system provides a variety of recommendation data for users. In other words, topics cloud, similar to the user, author navigation and frequently seen keyword/documentation systems are automatically recommended. The feature of the proposed system is re-cycling system using the user’s search results and used recommend systems. In this paper, we had implemented and evaluated the category-based personalized search system.