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First demonstration of the intelligent reviewer's assistant

Published:14 February 2012Publication History

ABSTRACT

User opinions and reviews are an important part of the modern web and all major e-commerce sites typically provide their users with the ability to provide and access customer reviews across their product catalog. The importance of reviews has driven the need to improve the review quality by providing interactive support for the reviewer and we will demonstrate the first version of an Intelligent Reviewer's Assistant for this purpose. Our browser plugin is designed to work with major sites like Amazon and to provide users with suggestions as they write their reviews. In particular, these suggestions take the form of topics (e.g. product features) that a reviewer may wish to write about and the suggestions automatically adapt as the user writes their review.

References

  1. Derek Bridge and Aidan Waugh. Using experience on the read/write web: The ghostwriter system. In Derek Bridge, Enric Plaza, and Nirmalie Wiratunga, editors, Procs. of WebCBR: The Workshop on Reasoning from Experiences on the Web (Workshop Programme of the Eighth International Conference on Case-Based Reasoning), pages 15--24, 2009.Google ScholarGoogle Scholar
  2. Paul Healy and Derek Bridge. The GhostWriter-2.0 System: Creating a Virtuous Circle in Web 2.0 Product Reviewing. In Derek Bridge, Sarah Jane Delany, Enric Plaza, Barry Smyth, and Nirmalie Wiratunga, editors, Procs. of WebCBR: The Workshop on Reasoning from Experiences on the Web (Workshop Programme of the Eighteenth International Conference on Case-Based Reasoning), pages 121--130, 2010.Google ScholarGoogle Scholar

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  1. First demonstration of the intelligent reviewer's assistant

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    • Published in

      cover image ACM Conferences
      IUI '12: Proceedings of the 2012 ACM international conference on Intelligent User Interfaces
      February 2012
      436 pages
      ISBN:9781450310482
      DOI:10.1145/2166966

      Copyright © 2012 Authors

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 14 February 2012

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      Acceptance Rates

      Overall Acceptance Rate746of2,811submissions,27%

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