Journal of Guangxi Normal University(Natural Science Edition) ›› 2010, Vol. 28 ›› Issue (1): 113-116.

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Personalized Recommendation Model Based on Results Clustering Analysis

LUO Wen-bing1, WU Run-xiu2, WANG Ming-wen1, ZHU Ying-ting1, XIONG Chao1   

  1. 1. School of Computer Information and Engineering,Jiangxi Normal University,Nanchang Jiangxi 330022,China;
    2. Department of Computer Science and Technology,Nanchang Institute of Technology,Nanchang Jiangxi 330099,China
  • Received:2009-12-20 Online:2010-03-20 Published:2023-02-07

Abstract: This paper proposes a personalized recommendation model based on results clustering analysis.First,a user model is established accordingtothe user behavior;Then the search results are re-sorted by using multiple information fusion algorithms.Finally clustering analysis on results is carried out and recommendations are made by adjusting the weight of different class document.The experimental results of teaching scientific research information recommendation show that this model can improve the recommendationeffectiveness.

Key words: personalized recommendation, information retrieval, clustering analysis

CLC Number: 

  • TP391
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