Concept network-based personalized web search

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1 Scopus citations


This paper presents a new type of user profile-based personalized search technique with automatically evolving concept work. The user profile is defined as a concept network, in which each concept is approximately represented with the formal concept analysis (FCA) theory. We assume that a concept, called 'session interest concept', subsume a user's query intention during a query session and it can reflect the user's preference. Whenever a user issues his/her query, a session interest concept is generated. Then, new concepts are merged into the current concept network (i.e., a user profile) in which recent user preferences are accumulated. According to FCA, a session interest concept is defined as a pair of extent and intent where the extent covers a set of documents selected by the user among the search results and the intent covers a set of keyword features extracted from the selected documents. And, in order to make a concept network evolve, we need to calculate the similarity between a new concept and existing concepts, and to this end, we use a reference concept hierarchy called 'Open Directory Project'. The user profile of concept network is eventually used to expand a user's initial query. The empirical results show that our approach improves the accuracy of search results in terms of personal preference.

Original languageEnglish
Pages (from-to)3531-3541
Number of pages11
Issue number8
StatePublished - Aug 2012


  • Concept network
  • Information retrieval
  • Keyword extraction
  • Personalized search
  • Query expansion
  • User profile


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