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Informed recommender: basing recommendations on consumer product reviews

Recommender systems attempt to predict items in which a user might be interested, given some information about the user’s and items’ profiles. Most existing recommender systems use content-based or collaborative filtering methods or hybrid methods that combine both techniques (see the sidebar for more details). We created Informed Recommender to address the problem of using consumer opinion about products, expressed online in free-form text, to generate product recommendations. Informed recommender uses prioritized consumer product reviews to make recommendations. Using text-mining techniques, it maps each piece of each review comment automatically into an ontology

© IEEE Intelligent Systems, 2007, vol. 22, p. 39-47

IEEE

Author: Aciar, Silvana Vanesa
Zhang, Debbie
Simoff, Simeon
Debenham, John
Date: 2007
Abstract: Recommender systems attempt to predict items in which a user might be interested, given some information about the user’s and items’ profiles. Most existing recommender systems use content-based or collaborative filtering methods or hybrid methods that combine both techniques (see the sidebar for more details). We created Informed Recommender to address the problem of using consumer opinion about products, expressed online in free-form text, to generate product recommendations. Informed recommender uses prioritized consumer product reviews to make recommendations. Using text-mining techniques, it maps each piece of each review comment automatically into an ontology
Format: application/pdf
Citation: Aciar, S., Zhang, D., Simoff, S., i Debenham, J. (2007). Informed Recommender: Basing Recommendations on Consumer Product Reviews. IEEE Intelligent Systems, 22, 3, 39-47. Recuperat 08 juny 2010, a http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4216979
ISSN: 1541-1672
Document access: http://hdl.handle.net/10256/2554
Language: eng
Publisher: IEEE
Collection: Reproducció digital del document publicat a: http://dx.doi.org/10.1109/MIS.2007.55
Articles publicats (D-EEEiA)
Is part of: © IEEE Intelligent Systems, 2007, vol. 22, p. 39-47
Rights: Tots els drets reservats
Subject: Béns de consum
Comerç electrònic
Mineria de dades
Consumer goods
Electronic commerce
Data mining
Title: Informed recommender: basing recommendations on consumer product reviews
Type: info:eu-repo/semantics/article
Repository: DUGiDocs

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