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dc.contributor.author O'Mahony, Michael P.
dc.contributor.author Cunningham, Pádraig
dc.contributor.author Smyth, Barry
dc.date.accessioned 2010-10-12T15:14:02Z
dc.date.available 2010-10-12T15:14:02Z
dc.date.issued 2010-08-30
dc.identifier.uri http://hdl.handle.net/10197/2514
dc.description Paper presented at the 21st Irish Conference on Artificial Intelligence and Cognitive Science (AICS 2010), Galway, Ireland, 30 August - 1 September, 2010 en
dc.description.abstract Millions of users are today posting user-generated content online, expressing their opinions on all manner of goods and services, topics and social affairs. While undoubtedly useful,user-generated content presents consumers with significant challenges in terms of information overload and quality considerations. In this paper, we address these issues in the context of product reviews and present a brief survey of our work to date on predicting review helpfulness. In particular, the performance of a variety of different machine learning approaches is evaluated on four large-scale review datasets drawn from the TripAdvisor and Amazon domains. Our findings highlight some interesting properties of this task from a machine learning perspective and demonstrate that author reputation, the sentiment expressed in reviews and review length are among the most effective predictors of review helpfulness. en
dc.description.sponsorship Science Foundation Ireland en
dc.description.uri Conference details en
dc.description.uri http://aics.nuigalway.ie/index.html en
dc.format.extent 345694 bytes
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.requires CLARITY Research Collection en
dc.subject User-generated content en
dc.subject Product reviews en
dc.subject Review helpfulness en
dc.subject Classification en
dc.subject Amazon en
dc.subject TripAdvisor en
dc.subject.lcsh User-generated content--Evaluation en
dc.subject.lcsh Recommender systems (Information filtering) en
dc.subject.lcsh User-generated content--Classification en
dc.title Predicting helpful product reviews en
dc.type Conference Publication en
dc.internal.availability Full text available en
dc.status Peer reviewed en
dc.neeo.contributor O'Mahony|Michael P.|aut| en
dc.neeo.contributor Cunningham|Pádraig|aut| en
dc.neeo.contributor Smyth|Barry|aut| en
dc.description.admin Not yet published in "Proceedings of the 21st Irish Conference on Artificial Intelligence and Cognitive Science (AICS 2010)" to be (most probably) published by Springer. On publication, 12 months embargo. Condition: provide a link to the published article on Springer’s website, accompanied by the text “The final publication is available at springerlink.com”. Author version can remain as is (no set text)- AV 7/10/2010. ti ke SB. 11/10/2010 en


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