• 综合性科技类中文核心期刊
    • 中国科技论文统计源期刊
    • 中国科学引文数据库来源期刊
    • 中国学术期刊文摘数据库(核心版)来源期刊
    • 中国学术期刊综合评价数据库来源期刊
DU Yong-ping, DU Xiao-yan, YAO Zhang-qing. Recommendation Algorithm Based on Topic Utility for Academic Papers[J]. Journal of Beijing University of Technology, 2015, 41(2): 215-222. DOI: 10.11936/bjutxb2014070009
Citation: DU Yong-ping, DU Xiao-yan, YAO Zhang-qing. Recommendation Algorithm Based on Topic Utility for Academic Papers[J]. Journal of Beijing University of Technology, 2015, 41(2): 215-222. DOI: 10.11936/bjutxb2014070009

Recommendation Algorithm Based on Topic Utility for Academic Papers

More Information
  • Received Date: July 07, 2014
  • Available Online: January 10, 2023
  • To solve paper recommendation problem,an academic paper recommendation algorithm based on topic utility is proposed. This approach uses latent Dirichlet allocation(LDA) model to build the model of candidate papers and users' published papers,and then the topic sets with high utility are mined. The similarity between the user interest and the candidate papers is calculated according to the distribution of the high utility topics. Finally,the valuable papers are recommended to the users.Experimental results show that this method is effective,and it can get higher precision and recall than the algorithm based on apriori. Meanwhile,this method can meet the user demand for both the quality and the personalization.

Catalog

    Article views (21) PDF downloads (13) Cited by()
    Turn off MathJax
    Article Contents

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return