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Mining Distinguishing Customer Focus Sets for Online Shopping Decision Support

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Advanced Data Mining and Applications (ADMA 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10086))

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Abstract

With the development of e-commerce, online shopping becomes increasingly popular. Very often, online shopping customers read reviews written by other customers to compare similar items. However, the number of customer reviews is typically too large to look through in a reasonable amount of time. To extract information that can be used for online shopping decision support, this paper investigates a novel data mining problem of mining distinguishing customer focus sets from customer reviews. We demonstrate that this problem has many applications, and at the same time, is challenging. We present dFocus-Miner, a mining method with various techniques that makes the mined results interpretable and user-friendly. Our experimental results on real world data sets verify the effectiveness and efficiency of our method.

This work was supported in part by NSFC 61572332, the Fundamental Research Funds for the Central Universities 2016SCU04A22, and the China Postdoctoral Science Foundation 2014M552371, 2016T90850.

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Authors and Affiliations

  1. School of Computer Science, Sichuan University, Chengdu, China

    Lu Liu, Lei Duan, Hao Yang & Pan Qin

  2. West China School of Public Health, Sichuan University, Chengdu, China

    Lei Duan

  3. School of Information Sciences, University of Tampere, Tampere, Finland

    Jyrki Nummenmaa

  4. Sino-Finnish Centre, Tongji University, Shanghai, China

    Jyrki Nummenmaa

  5. Department of Computer Science and Engineering, Wright State University, Dayton, USA

    Guozhu Dong

Authors
  1. Lu Liu
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  2. Lei Duan
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  3. Hao Yang
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  4. Jyrki Nummenmaa
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  5. Guozhu Dong
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  6. Pan Qin
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Corresponding author

Correspondence to Lei Duan .

Editor information

Editors and Affiliations

  1. University of Technology , Sydney, New South Wales, Australia

    Jinyan Li

  2. University of Queensland , Brisbane, Australia

    Xue Li

  3. Beijing Institute of Technology , Beijing, China

    Shuliang Wang

  4. University of Western Australia , Crawley, West Australia, Australia

    Jianxin Li

  5. University of Adelaide , Adelaide, South Australia, Australia

    Quan Z. Sheng

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Liu, L., Duan, L., Yang, H., Nummenmaa, J., Dong, G., Qin, P. (2016). Mining Distinguishing Customer Focus Sets for Online Shopping Decision Support. In: Li, J., Li, X., Wang, S., Li, J., Sheng, Q. (eds) Advanced Data Mining and Applications. ADMA 2016. Lecture Notes in Computer Science(), vol 10086. Springer, Cham. https://doi.org/10.1007/978-3-319-49586-6_4

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  • DOI: https://doi.org/10.1007/978-3-319-49586-6_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-49585-9

  • Online ISBN: 978-3-319-49586-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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