Repository logo
  • Log In
    New user? Click here to register.Have you forgotten your password?
University College Dublin
    Colleges & Schools
    Statistics
    All of DSpace
  • Log In
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. College of Science
  3. School of Computer Science
  4. Computer Science Research Collection
  5. Learning to recommend helpful hotel reviews
 
  • Details
Options

Learning to recommend helpful hotel reviews

Author(s)
O'Mahony, Michael P.  
Smyth, Barry  
Uri
http://hdl.handle.net/10197/1894
Date Issued
2009-10
Date Available
2010-03-29T15:43:20Z
Abstract
User-generated reviews are a common and valuable source of product information, yet little attention has been paid as to how best to present them to end-users. In this paper, we describe a classification-based recommender system that is designed to recommend the most helpful reviews for a given product. We present a large-scale evaluation of our approach using TripAdvisor hotel reviews, and we show that our approach
is capable of suggesting superior reviews compared to a number of alternative recommendation benchmarks.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
ACM
Copyright (Published Version)
2009 ACM
Subjects

Review Recommendation...

Classification

TripAdvisor

Subject – LCSH
Recommender systems (Information filtering)
Automatic classification
User-generated content--Classification
DOI
10.1145/1639714.1639774
Web versions
http://doi.acm.org/10.1145/1639714.1639774
Language
English
Status of Item
Peer reviewed
Journal
Proceedings of the third ACM conference on Recommender systems
Conference Details
Paper presented at the 3rd ACM Conference on Recommender Systems (RecSys 2009), New York City, NY, USA, 22-25 October 2009
ISBN
978-1-60558-435-5
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-sa/1.0/
File(s)
Loading...
Thumbnail Image
Name

sp235-omahony.pdf

Size

249.29 KB

Format

Adobe PDF

Checksum (MD5)

98a5324208b41367c341904e470c11a8

Owning collection
Computer Science Research Collection
Mapped collections
CLARITY Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

For all queries please contact research.repository@ucd.ie.

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Cookie settings
  • Privacy policy
  • End User Agreement