Personalized Information Retrieval Using the User History

Abstract

Many search algorithms have been implemented by many researchers on the world wide web. One of the best algorithms is Google using PageRank technology. PageRank approach computes the number of Mink of each documents then ranks documents in the order of Mink members. But it is difficult to find the results that user needs, because this method finds documents not valueable for a person but valueable for the public. This paper proposes a personalized search engine that emphasizes both the public worth such as page rank using the Mink of each documents and the personal worth.