Research and Design of Personalized Information Retrieval Based on Users’ Clustering

  • Yan Hu
  • Baohong Yu
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 169)


With the description of the shortcomings of the existing popular search engines and the personalized information retrievals based on individuals, the personalized information retrieval based on users’ clustering was proposed, of which the key technologies of users’ clustering, user group dictionary, user search and sorting and so on were described in detail and it was proved by experiments that the personalized information retrieval based on users’ clustering improved the efficiency of the information retrieval.


Search engines Personalized Users’ clustering User search Sorting Information retrieval 


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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.School of Computer Science and TechnologyWuhan University of TechnologyWuhanChina

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