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dc.contributor.author O'Mahony, Michael P.
dc.contributor.author Smyth, Barry
dc.date.accessioned 2010-06-23T13:59:11Z
dc.date.available 2010-06-23T13:59:11Z
dc.date.copyright AAAI, 2010 en
dc.date.issued 2010-05-19
dc.identifier.isbn 978-1-57735-447-5
dc.identifier.uri http://hdl.handle.net/10197/2102
dc.description Poster presented at the 23rd International FLAIRS Conference (FLAIRS-23), Daytona Beach, Florida, USA, May 19-21, 2010 en
dc.description.abstract Consumers frequently rely on user-generated product reviews to guide purchasing decisions. Given the ever increasing volume of such reviews and variations in review quality, consumers require assistance to effectively leverage this vast information source. In this paper, we examine to what extent the readability of reviews is a predictor of review helpfulness. Using a supervised classification approach, our findings indicate that readability is a useful predictor for Amazon product reviews but less so for TripAdvisor hotel reviews. en
dc.description.sponsorship Science Foundation Ireland en
dc.format.extent 95830 bytes
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher AAAI en
dc.relation.ispartof H.W. Guesgen and R.C. Murray(ed.s). Proceedings of the twenty-third International Florida Artificial Intelligence Research Society Conference (FLAIRS-23)
dc.subject.lcsh Readability (Literary style) en
dc.subject.lcsh User-generated content--Evaluation en
dc.subject.lcsh Recommender systems (Information filtering) en
dc.title The readability of helpful product reviews en
dc.type Conference Publication en
dc.internal.availability Full text available en
dc.internal.webversions Publisher's version
dc.internal.webversions http://aaai.org/ocs/index.php/FLAIRS/2010/paper/view/1344
dc.status Peer reviewed en
dc.neeo.contributor O'Mahony|Michael P.|aut| en
dc.neeo.contributor Smyth|Barry|aut| en


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