Towards an intelligent reviewer's assistant: recommending topics to help users to write better product reviews

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Title: Towards an intelligent reviewer's assistant: recommending topics to help users to write better product reviews
Authors: Dong, Ruihai
McCarthy, Kevin
O'Mahony, Michael P.
Schaal, Markus
Smyth, Barry
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Date: 14-Feb-2012
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. Indeed this has become a vital part of the service provided by sites like Amazon and TripAdvisor, so much so that many of us will routinely check appropriate product reviews before making a purchase decision, regardless of whether we intend to purchase online or not. The importance of reviews has highlighted the need to help users to produce better reviews and in this paper we describe the development and evaluation of a Reviewer's Assistant for this purpose. We describe a browser plugin that is designed to work with major sites like Amazon and to provide users with suggestions as they write their reviews. 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. We describe and evaluate a number of different algorithms to identify useful topics to recommend to the user and go on to describe the results of a preliminary live-user trial.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Publisher: ACM
Copyright (published version): 2012 ACM
Keywords: Intelligent user interfacesText miningWriters assistanceBrowser plugin
Subject LCSH: Consumer satisfaction
User interfaces (Computer systems)
Data mining
Online authorship
Plug-ins (Computer programs)
DOI: 10.1145/2166966.2166995
Language: en
Status of Item: Not peer reviewed
Is part of: Duarte, C. et al (eds.). Proceedings of the 2012 ACM international conference on Intelligent User Interfaces
Conference Details: ACM international conference on Intelligent User Interfaces (IUI '12), Lisbon, Portugal, February 14 - 17, 2012
ISBN: 978-1-4503-1048-2
Appears in Collections:Computer Science Research Collection

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