Journal of Guangxi Normal University(Natural Science Edition) ›› 2011, Vol. 29 ›› Issue (3): 151-156.

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Personalized Recommendation Algorithm Based on CBR

ZHUO Guang-ping1,2, SUN Jing-yu1, LI Xian-hua2, YU Xue-li1   

  1. 1.College of Computer Science and Technologies,Taiyuan University of Technology,Taiyuan Shanxi 030024,China;
    2.China Unicom Company Limited,Shanxi Branch,Taiyuan Shanxi 030001,China
  • Received:2011-05-15 Online:2011-08-20 Published:2018-12-03

Abstract: The limited personalized services in current mainstream search engines often make users re-browse some web pages and even fail to find what they need.In this paper,a personalized recommendation algorithm based on CBR for reusing users' search experiences is proposed.Through discussing the modeling user profile,searching and ranking cases in detail,a personalized recommendation algorithm based on CBR (case-basedreasoning) is proposed based on users' search experience.The proposed algorithm isapplied in the web search recommendation system ExpertRec and good result are obtained.

Key words: personalized web search, recommendation algorithm, case-based reasoning, recommender system

CLC Number: 

  • TP391.1
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