Library Research ›› 2011, Vol. 41 ›› Issue (2): 92-96.

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Research and Design of Library Bibliographic Recommendation System

HUANG Yan (Library of Southwest University of Political Science and Law, Chongqing 401120, China)   

  • Published:2019-04-28

Abstract: This paper analyzes the status and shortage of current library bibhographic recommendation system, brings forward a new bibliographic recommendation way based on reader borrow records mining by using association rules, designs a new architecture of library bibhographic recommendation system, and analyses the recommendation process of this system based on instance.

Key words: bibliographic recommendation system; association nAes mining; data warehouse

CLC Number: 

  • G250.7