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.
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Pavai, G., Umamaheswari, E., Geetha, T.V. (2013). Concept Based Personalized Search and Collaborative Search Using Modified HITS Algorithm. In: Prasath, R., Kathirvalavakumar, T. (eds) Mining Intelligence and Knowledge Exploration. Lecture Notes in Computer Science(), vol 8284. Springer, Cham. https://doi.org/10.1007/978-3-319-03844-5_64
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DOI: https://doi.org/10.1007/978-3-319-03844-5_64
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03843-8
Online ISBN: 978-3-319-03844-5
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