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2018 , Vol. 62 >Issue 8: 67 - 73

DOI: https://doi.org/10.13266/j.issn.0252-3116.2018.08.009

Reading Recommendation with Subject Diversity of University Libraries Based on Analysis of User Social Network

  • Liu Yijun ,
  • He Sheng ,
  • Wu Zhiqin ,
  • Zhao Xiaorong ,
  • Xi Haixu
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  • 1. School of Computer Engineering, Jiangsu University of Technology, Changzhou 213001;
    2. Jiangsu University of Technology Library, Changzhou 213001;
    3. Key Laboratory of Cloud Computing & Intelligent Information Processing of Changzhou City, Changzhou 213001

Received date: 2017-11-08

  Revised date: 2018-01-07

  Online published: 2018-04-20

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Abstract

[Purpose/significance] That the recommendation results cover the diverse interests of users and have good subject diversity is of great significance for improving the user satisfaction of library personalized reading recommendation services.[Method/process] This paper proposes a reading recommendation method based on social network analysis, which supplies users with reading recommendation with subject diversity through mining the user's diverse implicit interests by his friends who have similar interests with him. A book recommendation case of university library which has good subject diversity is given.[Result/conclusion] The analysis of user social network supplies university libraries with the new way of discovering diverse interests of users so as to provide reading recommendation services with subject diversity and construct the multiple knowledge structure of users.

Key words： university library; analysis of user social network; personalized reading recommendation; subject diversity

Cite this article

Liu Yijun , He Sheng , Wu Zhiqin , Zhao Xiaorong , Xi Haixu . Reading Recommendation with Subject Diversity of University Libraries Based on Analysis of User Social Network[J]. Library and Information Service, 2018 , 62(8) : 67 -73 . DOI: 10.13266/j.issn.0252-3116.2018.08.009

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