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The Review of Recommendation System

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Geo-informatics in Sustainable Ecosystem and Society (GSES 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 980))

Abstract

With the development of the Internet, the amount of information continues to increase, and the problem of “information overloading” is becoming more and more obvious. Simple information retrieval can no longer satisfies the needs of users to search for accurate information, and the recommendation system emerges. Although the recommendation system is widely used in e-commerce, the recommended algorithm faces more difficulties. The paper firstly introduces the related concepts, the directions of application and the principles of the recommendation system, then the paper analyzes the advantages and disadvantages of these algorithms. Finally, it summarizes some main problems and the directions of the research the recommendation system needs to solve.

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Acknowledgement

The work was supported by the education department of hebei province (NO. QN2016142, YQ2014014) and the natural science foundation of hebei province (NO. F2015402119). Thanks to my teachers for guidance and the help of my classmates.

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Authors and Affiliations

  1. Hebei University of Engineering, Handan, Hebei, China

    Ning Wang, Hui Zhao, Xue Zhu & Nan Li

Authors
  1. Ning Wang
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  2. Hui Zhao
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  3. Xue Zhu
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  4. Nan Li
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Corresponding author

Correspondence to Ning Wang .

Editor information

Editors and Affiliations

  1. Eastern Michigan University, Ypsilanti, MI, USA

    Yichun Xie

  2. Hebei University of Engineering, Handan, China

    Anbing Zhang

  3. Hebei University of Engineering, Handan, Hebei, China

    Haixin Liu

  4. Hebei University of Engineering, Handan, China

    Lili Feng

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Wang, N., Zhao, H., Zhu, X., Li, N. (2019). The Review of Recommendation System. In: Xie, Y., Zhang, A., Liu, H., Feng, L. (eds) Geo-informatics in Sustainable Ecosystem and Society. GSES 2018. Communications in Computer and Information Science, vol 980. Springer, Singapore. https://doi.org/10.1007/978-981-13-7025-0_34

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  • DOI: https://doi.org/10.1007/978-981-13-7025-0_34

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-7024-3

  • Online ISBN: 978-981-13-7025-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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