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�������պ����ѧѧ�� 2010, Vol. 36 Issue (2) :188-192    DOI:
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Approach to modeling user interests using conceptual clustering
Liu Yongli, Ouyang Yuanxin, Wen Jia, Xiong Zhang*
School of Computer Science and Technology, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

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Abstract�� The exponential increase of internet resources accelerated the development of effective personalization techniques. A new method for modeling user interest, named UIM2C2 (user interest modeling method based on conceptual clustering) was presented. The method analyzed documents that each user ever browsed and created a suffix tree. According to different pair-wise base cluster similarity thresholds, base clusters could be merged in the range of different granularity. Combining with the inclusion relation between merged base clusters under different granularity, an interest hierarchy was generated. UIM2C2 carried out incremental, unsupervised concept learning over Web documents so that user profiles could be acquired and updated easily. Experimental results prove the effectiveness of the method in Web page recommendation.
Keywords�� internet   information retrieval   interest prediction   user interest model     
Received 2008-12-27;


About author: ������(1980-),��,���Ͻ�����,��ʿ��,yongli.buaa@gmail.com.
������, ŷ��Ԫ��, �� ��, �� �.���ڸ��������û���Ȥ��ģ����[J]  �������պ����ѧѧ��, 2010,V36(2): 188-192
Liu Yongli, Ouyang Yuanxin, Wen Jia, Xiong Zhang.Approach to modeling user interests using conceptual clustering[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2010,V36(2): 188-192
http://bhxb.buaa.edu.cn//CN/     ��     http://bhxb.buaa.edu.cn//CN/Y2010/V36/I2/188
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