slugPersonalized Web Search

Abstract

The amount of information on the World Wide Web is growing rapidly, and in this information explosion era the number of new users inexperienced in the art of web research. While searching what users lack is not scale of information but how to obtain information that meets user’s search intention rapidl y and accurately. The main problem current search engines are facing is to meet the user’s need. In this paper, we combined two basic strategies (1) user interest and (2) collaborative filtering to reorder and to make the search results more personalized, we implemented the approach using multi - agents technology .

Authors and Affiliations

Miss. Ashna Sayyad, Miss. Akshada Gaikwad, Miss. Rupali Khule, Miss. Bhavana Deoker

Keywords

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  • EP ID EP17844
  • DOI -
  • Views 369
  • Downloads 12

How To Cite

Miss. Ashna Sayyad, Miss. Akshada Gaikwad, Miss. Rupali Khule, Miss. Bhavana Deoker (2014). slugPersonalized Web Search. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 2(4), -. https://europub.co.uk/articles/-A-17844