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Mining distinguishing customer focus sets from online customer reviews

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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. Moreover, we propose a visualization design to display the results of dFocus-Miner. Our experimental results on real world data sets verify the effectiveness and efficiency of our method.

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Authors and Affiliations

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

    Lei Duan, Lu Liu, Tingting Wang, Pan Qin & Hao Yang

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

    Guozhu Dong

  3. Faculty of Natural Sciences, University of Tampere, Tampere, Finland

    Jyrki Nummenmaa

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

Correspondence to Lei Duan.

Additional information

This work was supported in part by the National Natural Science Foundation of China (61572332), the Fundamental Research Funds for the Central Universities (2016SCU04A22), the China Postdoctoral Science Foundation (2014M552371, 2016T90850), and the Academy of Finland (295694).

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Duan, L., Liu, L., Dong, G. et al. Mining distinguishing customer focus sets from online customer reviews. Computing 100, 335–351 (2018). https://doi.org/10.1007/s00607-018-0601-1

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  • DOI: https://doi.org/10.1007/s00607-018-0601-1

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