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International CCF Conference on Artificial Intelligence

ICAI 2019: Artificial Intelligence pp 159–170Cite as

Hybrid Recommendation Algorithm Based on Weighted Bipartite Graph and Logistic Regression

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1001))

Abstract

Bipartite graph-based recommendation is a key topic in the field of recommender systems. Using logistic regression, a new recommendation algorithm based on a bipartite graph is proposed. First, the weights of the bipartite graph and the similarity of users are defined. Then, a recommendation list based on the bipartite graph is generated. Next, items in the recommendation list are re-sorted using the classification results of logistic regression. Furthermore, a balance factor is proposed to measure the accuracy and diversity of a recommender system comprehensively. Experimental results show that the recommendation results of the proposed algorithm are good.

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Acknowledgments

This work was partially supported by the Great Wall Scholar Program (CIT&TCD20190305), High Innovation Program of Beijing (2015000026833ZK04), and Beijing Urban Governance Research Center.

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Authors and Affiliations

  1. School of Information Science and Technology, North China University of Technology, Beijing, 100144, China

    Wei Song, Pengwei Shao & Peng Liu

  2. Beijing Key Laboratory on Integration and Analysis of Large-Scale Stream Data, Beijing, 100144, China

    Wei Song

Authors
  1. Wei Song
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  2. Pengwei Shao
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  3. Peng Liu
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Corresponding author

Correspondence to Wei Song .

Editor information

Editors and Affiliations

  1. USC/Information Sciences Institute, University of Southern California, Marina Del Rey, CA, USA

    Kevin Knight

  2. Tsinghua University, Beijing, China

    Changshui Zhang

  3. University of Waikato, Hamilton, New Zealand

    Geoff Holmes

  4. Southeast University, Nanjing, China

    Min-Ling Zhang

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© 2019 Springer Nature Singapore Pte Ltd.

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Cite this paper

Song, W., Shao, P., Liu, P. (2019). Hybrid Recommendation Algorithm Based on Weighted Bipartite Graph and Logistic Regression. In: Knight, K., Zhang, C., Holmes, G., Zhang, ML. (eds) Artificial Intelligence. ICAI 2019. Communications in Computer and Information Science, vol 1001. Springer, Singapore. https://doi.org/10.1007/978-981-32-9298-7_13

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  • DOI: https://doi.org/10.1007/978-981-32-9298-7_13

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-32-9297-0

  • Online ISBN: 978-981-32-9298-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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