JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2016, Vol. 51 ›› Issue (7): 35-42.doi: 10.6040/j.issn.1671-9352.1.2015.E28

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Personalized search based on folksonomy and category

GUAN Yi-zhou, XU Bo, LIN Yuan, LIN Hong-fei*   

  1. Department of Computer Science and Technology, Dalian University of Technology, Dalian 116024, Liaoning, China
  • Received:2015-09-25 Online:2016-07-20 Published:2016-07-27

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Abstract: Web 2.0 has provided information retrieval with many useful resources. Two kinds of them are beneficial for personalized search, which are social annotations and categorical information. The annotations that user gives come from his consideration, and the categories of the documents that he annotated reflect his preference and interest. So combining these two kinds of resources will benefit the personalized search. Our work is based on a personalized searching method with only annotations, and we propose a method based on both annotations and categorical information. We use them to screen similar users in preference and interest to extend users profile, so that user extended profile will be more accurate. The experiment based on real dataset proves that our method has superiority.

Key words: social annotation, web categorical, personalized search

CLC Number: 

  • TP309
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