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A Time and Opinion Quality-Weighted Model for Aggregating Online Reviews

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Databases Theory and Applications (ADC 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9877))

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Abstract

Online reviews are playing important roles for the online shoppers to make buying decisions. However, reading all or most of the reviews is an overwhelming and time consuming task. Many online shopping websites provide aggregate scores for products to help consumers to make decisions. Averaging star ratings from all online reviews is widely used but is hardly effective for ranking products. Recent research proposed weighted aggregation models, where weighting heuristics include opinion polarities from mining review textual contents as well as distribution of star ratings. But the quality of opinions in reviews is largely ignored in existing aggregation models. In this paper we propose a novel review weighting model combining the information on the posting time and opinion quality of reviews. In particular, we make use of helpfulness votes for reviews from the online review communities to measure opinion quality. Our model generates aggregate scores to rank products. Extensive experiments on an Amazon dataset showed that our model ranked products in strong correspondence with customer purchase rank and outperformed several other approaches.

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Notes

  1. 1.

    http://jmcauley.ucsd.edu/data/amazon/.

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Author information

Authors and Affiliations

  1. RMIT University, Melbourne, Australia

    Yassien Shaalan & Xiuzhen Zhang

Authors
  1. Yassien Shaalan
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  2. Xiuzhen Zhang
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Corresponding author

Correspondence to Yassien Shaalan .

Editor information

Editors and Affiliations

  1. Monash University , Clayton, Australia

    Muhammad Aamir Cheema

  2. School of Comp. Science a. Engineer, University of New South Wales School of Comp. Science a. Engineer, Sydney, Australia

    Wenjie Zhang

  3. University of New South Wales , Sydney, New South Wales, Australia

    Lijun Chang

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Shaalan, Y., Zhang, X. (2016). A Time and Opinion Quality-Weighted Model for Aggregating Online Reviews. In: Cheema, M., Zhang, W., Chang, L. (eds) Databases Theory and Applications. ADC 2016. Lecture Notes in Computer Science(), vol 9877. Springer, Cham. https://doi.org/10.1007/978-3-319-46922-5_21

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  • DOI: https://doi.org/10.1007/978-3-319-46922-5_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46921-8

  • Online ISBN: 978-3-319-46922-5

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