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›› 2016, Vol. 28 ›› Issue (3): 5-9.doi: 10.13998/j.cnki.issn1002-1248.2016.03.001

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Exploration on the Suitable Intelligent Recommendation System for Small and Medium Institutional Repositories

CAO Tian   

  1. Nanjing Xiaozhuang University, Jiangsu Nanjing 211171, China
  • Received:2015-10-23 Online:2016-03-05 Published:2016-03-08

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Abstract: Exploring the suitable intelligent recommendation system is the key point for the construction of small and medium institutional repositories in establishing stable user group. Implementing quick, accurate and active information pushing is the foundation of development and the guarantee of survival for small and medium institutional repositories. In this paper, an integrated intelligent recommendation system was proposed, which effectively avoided the shortcomings and showed the advantages of some recommendation algorithms, and had good upgrade and scalability.

Key words: Institutional repository

CLC Number: 

  • G20
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