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The readability of helpful product reviews
Author(s)
Date Issued
2010-05-19
Date Available
2010-06-23T13:59:11Z
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.
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.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
AAAI
Copyright (Published Version)
AAAI, 2010
Subject – LCSH
Readability (Literary style)
User-generated content--Evaluation
Recommender systems (Information filtering)
Language
English
Status of Item
Peer reviewed
Journal
H.W. Guesgen and R.C. Murray(ed.s). Proceedings of the twenty-third International Florida Artificial Intelligence Research Society Conference (FLAIRS-23)
Conference Details
Poster presented at the 23rd International FLAIRS Conference (FLAIRS-23), Daytona Beach, Florida, USA, May 19-21, 2010
ISBN
978-1-57735-447-5
This item is made available under a Creative Commons License
File(s)
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Name
FLAIRS2010-momahony.pdf
Size
93.58 KB
Format
Adobe PDF
Checksum (MD5)
cfd07627e2066fa914455ae226c83fe4
Owning collection
Mapped collections