A Microblog Recommendation Algorithm Based on Multi-tag Correlation
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  • 关键词:Microblog recommendation ; Tag retrieval ; User ; Tag weight ; Tag correlation
  • 刊名:Lecture Notes in Computer Science
  • 出版年:2015
  • 出版时间:2015
  • 年:2015
  • 卷:9403
  • 期:1
  • 页码:483-488
  • 全文大小:175 KB
  • 参考文献:1.Sun, A.: Short text classification using very few words. In: Proceedings of the 35th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1145–1146. ACM, Portland (2012)
    2.Sun, Y.X., Ma, H.F., Shi, Y.K., Cui, T.: Self-adaptive microblog hot topic tracking method using term correlation. Computer Applications 34(12), 3497–3501 (2014)
    3.Tang, J., Wang, X., Gao, H., Hu, X., Liu, H.: Enriching short text representation in microblog for clustering. Frontiers of Computer Science 6(1), 88–101 (2012)MATH MathSciNet
    4.Zhou, X., Wu, S., Chen, C., Chen, G., Ying, S.S.: Real-time recommendation for microblogs. Information Sciences 279, 301–325 (2014)CrossRef
  • 作者单位:Huifang Ma (16) (17)
    Meihuizi Jia (16)
    Meng Xie (16)
    Xianghong Lin (16)

    16. College of Computer Science and Engineering, Northwest Normal University, Lanzhou Gansu, 730070, China
    17. Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 10085, China
  • 丛书名:Knowledge Science, Engineering and Management
  • ISBN:978-3-319-25159-2
  • 刊物类别:Computer Science
  • 刊物主题:Artificial Intelligence and Robotics
    Computer Communication Networks
    Software Engineering
    Data Encryption
    Database Management
    Computation by Abstract Devices
    Algorithm Analysis and Problem Complexity
  • 出版者:Springer Berlin / Heidelberg
  • ISSN:1611-3349
文摘
In this paper, we present a microblog recommendation algorithm based on multi-tag correlation. Firstly, a tag retrieval strategy is designed to add tags for unlabeled users, the initial user-tag matrix is then constructed and user-tag weights are set. In order to represent user interests accurately, we fully investigate the associations between the tags. Both inner and outer correlation between tags are defined to conquer the problem of sparsity of user-tag matrix. The user interests can then be decided and microblogs can be recommended to users. Experimental results show that the algorithm is effective for microblog recommendation.

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