A weight-based approach to information retrieval and relevance feedback

Facing the huge amount of information available on the world wide web, people suffer from spending much time and effort to examine the results provided by a search engine. This is mainly because of searching without considering the users’ preference and history of uses. Although some search engines have been developed and are currently used, without information regarding users’ desire and profile, the search domain remains too large to be effective. This paper proposes a search method that operates on a database of e-documents with references of a common body of knowledge and the retrieval information of the users. By employing data mining and optimization techniques, a framework for an information retrieval system that can effectively search content-related documents is proposed. The concept with the proposed algorithm is described with an illustrative algorithm.