Concept Based Personalized Search and Collaborative Search Using Modified HITS Algorithm

  • G. Pavai
  • E. Umamaheswari
  • T. V. Geetha
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8284)

Abstract

Keyword based search is commonly used by popular search engines. The major problem with this kind of search is that we do not get user intended results for the search. In addition, every user gets the same set of results for the same query whereas, their interests may be different. In order to tackle this, we go in for personalized web search and collaborative web search. We find out the user interest and accordingly display only pages that are relevant to their interest and not relevant blindly only to their query. This paper, describes a novel approach for storing the personalized user concepts and proposes a modification to the HITS algorithm based on user interested concepts. This paper also describes how to extend the concept based personalized search to concept based collaborative search. In addition we propose a new methodology to form dynamic groups in the case of collaborative search.

Keywords

Concept based search Personalization Collaboration Concept based HITS User profile 

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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • G. Pavai
    • 1
  • E. Umamaheswari
    • 1
  • T. V. Geetha
    • 1
  1. 1.Anna UniversityChennaiIndia

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