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  5. Experience-based critiquing : reusing critiquing experiences to improve conversational recommendation
 
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Experience-based critiquing : reusing critiquing experiences to improve conversational recommendation

Author(s)
McCarthy, Kevin  
Salem, Yasser  
Smyth, Barry  
Uri
http://hdl.handle.net/10197/2580
Date Issued
2010-07-22
Date Available
2010-11-24T15:15:38Z
Abstract
Product recommendation systems are now a key part of many e-commerce services and have proven to be a successful way to help users navigate complex product spaces. In this paper, we focus on critiquing-based recommenders, which permit users to tweak the features of recommended products in order to refine their needs and preferences.
In this paper, we describe a novel approach to reusing past critiquing histories in order to improve overall recommendation efficiency.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
Springer
Copyright (Published Version)
Springer-Verlag 2010
Subjects

Product recommendatio...

E-commerce

Critiquing-based reco...

Subject – LCSH
Recommender systems (Information filtering)
Electronic commerce
DOI
10.1007/978-3-642-14274-1_35
Web versions
The final publication is available at springerlink.com
http://dx.doi.org/10.1007/978-3-642-14274-1_35
Language
English
Status of Item
Peer reviewed
Journal
Bichindaritz, I. and Montani, S. (eds.). Case-based reasoning research and development : 18th International Conference on Case-based Reasoning, ICCBR 2010, Alessandria, Italy, July 2010 : proceedings
Conference Details
Paper presented at the 18th International Conference on Case-Based Reasoning (ICCBR 2010), Alessandria, Italy, 19-22 July 2010
ISBN
978-3-642-14273-4
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-sa/1.0/
File(s)
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Name

Paper23-ICCBR-2010-crc.pdf

Size

4.27 MB

Format

Adobe PDF

Checksum (MD5)

07eb3973b1b0c286dc9fd8cf0215987c

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.

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