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European Conference on Information Retrieval

ECIR 2019: Advances in Information Retrieval pp 230–235Cite as

Contender: Leveraging User Opinions for Purchase Decision-Making

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11438))

Abstract

User opinions posted on e-commerce websites are a valuable source to support purchase making-decision. Unfortunately, it is not generally feasible for an ordinary buyer to examine a large set of reviews on a given product for useful information on certain attributes. We present a system named Contender that can summarize product reviews aligned to the attributes of these products. Contender is implemented as an Android app for smartphones.

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Notes

  1. 1.

    Dataset will be made available on request.

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Author information

Authors and Affiliations

  1. Universidade do Estado do Amazonas, Manaus, Brazil

    Tiago de Melo

  2. Universidade Federal do Amazonas, Manaus, Brazil

    Tiago de Melo, Altigran S. da Silva & Edleno S. de Moura

  3. Universidade de Lisboa, Lisboa, Portugal

    Pável Calado

Authors
  1. Tiago de Melo
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  2. Altigran S. da Silva
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  3. Edleno S. de Moura
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  4. Pável Calado
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Corresponding author

Correspondence to Tiago de Melo .

Editor information

Editors and Affiliations

  1. University of Strathclyde, Glasgow, UK

    Leif Azzopardi

  2. Bauhaus Universität Weimar, Weimar, Germany

    Benno Stein

  3. Universität Duisburg-Essen, Duisburg, Germany

    Norbert Fuhr

  4. GESIS - Leibniz Institute for the Social Sciences, Cologne, Germany

    Philipp Mayr

  5. Delft University of Technology, Delft, The Netherlands

    Claudia Hauff

  6. University of Twente, Enschede, The Netherlands

    Djoerd Hiemstra

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de Melo, T., da Silva, A.S., de Moura, E.S., Calado, P. (2019). Contender: Leveraging User Opinions for Purchase Decision-Making. In: Azzopardi, L., Stein, B., Fuhr, N., Mayr, P., Hauff, C., Hiemstra, D. (eds) Advances in Information Retrieval. ECIR 2019. Lecture Notes in Computer Science(), vol 11438. Springer, Cham. https://doi.org/10.1007/978-3-030-15719-7_30

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  • DOI: https://doi.org/10.1007/978-3-030-15719-7_30

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-15718-0

  • Online ISBN: 978-3-030-15719-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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