A Survey of Agent-based Personalized Semantic information retrieval
M Chamundeeswari · 2011
The Aim of personalized search is to provide users with information tailored to their individual contexts. Web personalization is the process of customizing a Web site to the needs of specific users, taking advantage of the knowledge acquired from the analysis of the user’s navigational behavior (usage data) in correlation with other information collected in the Web context, namely, structure, content and user profile data. Due to the explosive growth of the Web, the domain of Web personalization has gained great momentum both in the research and commercial areas. Current Web search engines are built to serve all users, independent of the special needs of any individual user. Personalization of Web search is to carry out retrieval for each user incorporating his/her interests. The Semantic Web and Multi-Agent are effective means for constructing information retrieval systems.Despite a great deal of research, a number of challenges still exist before making Semantic Web and agent-based computing a widely accepted in information retrieval practice. The goal of this survey is study of the main concepts, existing methods, and practices of this area.