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International Conference on Intelligent Computing

ICIC 2016: Intelligent Computing Theories and Application pp 153–162Cite as

An Improved Context-Aware Recommender Algorithm

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9771))

Abstract

The paper proposes a kind of improved algorithm for context-aware recommender algorithm which is based on matrix factorization. The dot product of items and users is calculated for modeling the factors in paper. And then the average scores of items, different users-baseline and items-baseline on different contexts are added as users-items bias terms. Finally the evaluation scores as the recommender results for each items are the summation of users-items bias terms, interactions on items-contexts, users-contexts and users-items-contexts, and the dot products. The experimental results on test sets show that this improved algorithm has better accuracy of recommendation.

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Acknowledgment

This work is supported by the National Natural Science Foundation of China (60973140, 61170276, 61373135), The research project of Jiangsu Province (BY2013011), The Jiangsu provincial science and technology enterprises innovation fund project (BC2013027), the High-level Personnel Project Funding of Jiangsu Province Six Talents Peak and Jiangsu Province Blue Engineering Project. The major project of Jiangsu Province University Natural Science (12KJA520003).

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Authors and Affiliations

  1. Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Nanjing, 210003, China

    Huiyu Miao, Bingqing Luo & Zhixin Sun

Authors
  1. Huiyu Miao
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  2. Bingqing Luo
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  3. Zhixin Sun
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Corresponding author

Correspondence to Zhixin Sun .

Editor information

Editors and Affiliations

  1. Tongji University , Shanghai, China

    De-Shuang Huang

  2. Polytechnic of Bari , Bari, Italy

    Vitoantonio Bevilacqua

  3. University of Wollongong , North Wollongong, New South Wales, Australia

    Prashan Premaratne

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© 2016 Springer International Publishing Switzerland

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Miao, H., Luo, B., Sun, Z. (2016). An Improved Context-Aware Recommender Algorithm. In: Huang, DS., Bevilacqua, V., Premaratne, P. (eds) Intelligent Computing Theories and Application. ICIC 2016. Lecture Notes in Computer Science(), vol 9771. Springer, Cham. https://doi.org/10.1007/978-3-319-42291-6_15

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  • DOI: https://doi.org/10.1007/978-3-319-42291-6_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42290-9

  • Online ISBN: 978-3-319-42291-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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