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International Conference on Network-Based Information Systems

NBiS 2017: Advances in Network-Based Information Systems pp 853–861Cite as

Development of Review Selection System Reflecting User Preference Using SVM

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Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 7))

Abstract

In recent years, along with the spread of e-commerce sites, reviews of goods and services are often posted on the web. In a “review”, a user comments and evaluates a specific product or service. Examples of e-commerce sites are Amazon(https://www.amazon.co.jp/) and Netflix(https://www.netflix.com/jp/). Users make selections based on the performance and review of goods and services. Especially in the case of items which cannot be compared by performance, selection is difficult. Therefore, the review is an important selection factor of the item for a user. However, the perspectives of reviews vary depending on the different preferences of people. For that reason, a review that refers to the content a user wants to know is difficult to find quickly. For this study, we developed a system that distinguishes review sentences based on a user preference using machine learning. Then the system presents them to the user. This information will support decision making by users of e-commerce sites and will contribute to the improvement of information collection efficiency.

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Notes

  1. 1.

    https://grouplens.org/datasets/movielens/.

  2. 2.

    Support Vector Machine: Pattern recognition model using supervised learning.

References

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Author information

Authors and Affiliations

  1. Nagoya Institute of Technology, Gokiso-chou, Showa-ku, Nagoya, 466-8555, Japan

    Yuto Ishida, Takahiro Uchiya & Ichi Takumi

Authors
  1. Yuto Ishida
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  2. Takahiro Uchiya
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  3. Ichi Takumi
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Corresponding author

Correspondence to Yuto Ishida .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Rissho University, Tokyo, Japan

    Tomoya Enokido

  3. Hosei University, Tokyo, Japan

    Makoto Takizawa

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© 2018 Springer International Publishing AG

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Cite this paper

Ishida, Y., Uchiya, T., Takumi, I. (2018). Development of Review Selection System Reflecting User Preference Using SVM. In: Barolli, L., Enokido, T., Takizawa, M. (eds) Advances in Network-Based Information Systems. NBiS 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 7. Springer, Cham. https://doi.org/10.1007/978-3-319-65521-5_77

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  • DOI: https://doi.org/10.1007/978-3-319-65521-5_77

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65520-8

  • Online ISBN: 978-3-319-65521-5

  • eBook Packages: EngineeringEngineering (R0)

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