A classification-based review recommender

Files in This Item:
File Description SizeFormat 
kbs-2009-crc.pdf527.77 kBAdobe PDFDownload
Title: A classification-based review recommender
Authors: O'Mahony, Michael P.
Smyth, Barry
Permanent link: http://hdl.handle.net/10197/2000
Date: May-2010
Abstract: Many online stores encourage their users to submit product or service reviews in order to guide future purchasing decisions. These reviews are often listed alongside product recommendations but, to date, limited attention has been paid as to how best to present these reviews to the end-user. In this paper, we describe a supervised classification approach that is designed to identify and recommend the most helpful product reviews. Using the TripAdvisor service as a case study, we compare the performance of several classification techniques using a range of features derived from hotel reviews.We then describe how these classifiers can be used as the basis for a practical recommender that automatically suggests the most-helpful contrasting reviews to end-users. We present an empirical evaluation which shows that our approach achieves a statistically significant improvement over alternative review ranking schemes.
Funding Details: Science Foundation Ireland
Type of material: Journal Article
Publisher: Elsevier
Copyright (published version): 2010 Elsevier
Keywords: User-generated reviews;Classification;Helpful;TripAdvisor
Subject LCSH: User-generated content--Classification
Recommender systems (Information filtering)
Automatic classification;
DOI: 10.1016/j.knosys.2009.11.004
Language: en
Status of Item: Peer reviewed
Appears in Collections:CLARITY Research Collection
Computer Science Research Collection

Show full item record

SCOPUSTM   
Citations 5

47
Last Week
1
Last month
checked on Jun 22, 2018

Page view(s) 10

203
checked on May 25, 2018

Download(s) 10

678
checked on May 25, 2018

Google ScholarTM

Check

Altmetric


This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.