Superiority of agent based search in advanced educational technology

Abstract

Traditional search systems provide users with a starting point for their information search. Information Retrieval (IR) Systems present only initial results list. The relevance measure of documents and understanding user's queries are main issues in design of IR Systems. This involves improvements at query level and result display level. Personalized retrieval widens the notion of information need to comprise implicit user needs, not directly conveyed by the user in terms of explicit information requests. This can be achieved by expanding the user query and processing the results according to the user needs. Individual pages are retrieved by the traditional IR systems even though the information is spread across multiple pages. Instead composed pages are generated which contains all the query words. Ranking of retrieved pages can be improved by providing composed pages for the given query. As Agents can provide autonomous functioning, they can be used in the design of query expansion, searching and ranking of documents. This paper proposes a multi agent-based intelligent retrieval framework for query expansion and composing of pages.