J4 ›› 2011, Vol. 46 ›› Issue (5): 44-48.

• Articles • Previous Articles     Next Articles

The search result diversification approach based on the HITS algorithm

CHEN Fei, ZHANG Min, LIU Yi-qun, MA Shao-ping   

  1. State Key Lab of Intelligent Technology and Systems,Tsinghua National Laboratory for Information Science and Technology,
    Department of Computer Science and Technology,Tsinghua University, Beijing 100084, China
  • Received:2010-12-06 Published:2011-05-25

Abstract:

To avoid the problem that users′ diversity needs cannot be precisely obtained or documents provided cannot concern all aspects of the needs in a specific query,a new method was proposed based on the linkparsing feature of the HITS algorithm, in where the possibility was directly calculated according to the diversity of documents in the search result list for a query, and then the result list was reranked based on this value. Experimental results on the TREC′s largescale data collections verified that this method was effective.

Key words:  diversity; HITS; PageRank; authority; Hub

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