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A Microblog Recommendation Algorithm Based on Multi-tag Correlation

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Knowledge Science, Engineering and Management (KSEM 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9403))

Abstract

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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References

  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)

    Google Scholar 

  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)

    Google Scholar 

  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)

    Article  MathSciNet  MATH  Google Scholar 

  4. Zhou, X., Wu, S., Chen, C., Chen, G., Ying, S.S.: Real-time recommendation for microblogs. Information Sciences 279, 301–325 (2014)

    Article  Google Scholar 

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Authors and Affiliations

  1. College of Computer Science and Engineering, Northwest Normal University, Lanzhou Gansu, 730070, China

    Huifang Ma, Meihuizi Jia, Meng Xie & Xianghong Lin

  2. Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 10085, China

    Huifang Ma

Authors
  1. Huifang Ma
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  2. Meihuizi Jia
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  3. Meng Xie
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  4. Xianghong Lin
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Corresponding author

Correspondence to Huifang Ma .

Editor information

Editors and Affiliations

  1. Chinese Academy of Sciences, Beijing, China

    Songmao Zhang

  2. Ludwig-Maximilians-Universität München, Munich, Germany

    Martin Wirsing

  3. Southwest University, Chongqing, China

    Zili Zhang

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© 2015 Springer International Publishing Switzerland

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Ma, H., Jia, M., Xie, M., Lin, X. (2015). A Microblog Recommendation Algorithm Based on Multi-tag Correlation. In: Zhang, S., Wirsing, M., Zhang, Z. (eds) Knowledge Science, Engineering and Management. KSEM 2015. Lecture Notes in Computer Science(), vol 9403. Springer, Cham. https://doi.org/10.1007/978-3-319-25159-2_43

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  • DOI: https://doi.org/10.1007/978-3-319-25159-2_43

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25158-5

  • Online ISBN: 978-3-319-25159-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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