Item


Recommender System Based on Consumer Product Reviews

Consumer reviews, opinions and shared experiences in the use of a product is a powerful source of information about consumer preferences that can be used in recommender systems. Despite the importance and value of such information, there is no comprehensive mechanism that formalizes the opinions selection and retrieval process and the utilization of retrieved opinions due to the difficulty of extracting information from text data. In this paper, a new recommender system that is built on consumer product reviews is proposed. A prioritizing mechanism is developed for the system. The proposed approach is illustrated using the case study of a recommender system for digital cameras

IEEE

Author: Aciar, Silvana Vanesa
Zhang, Debbie
Simoff, Simeon
Debenham, John
Abstract: Consumer reviews, opinions and shared experiences in the use of a product is a powerful source of information about consumer preferences that can be used in recommender systems. Despite the importance and value of such information, there is no comprehensive mechanism that formalizes the opinions selection and retrieval process and the utilization of retrieved opinions due to the difficulty of extracting information from text data. In this paper, a new recommender system that is built on consumer product reviews is proposed. A prioritizing mechanism is developed for the system. The proposed approach is illustrated using the case study of a recommender system for digital cameras
Document access: http://hdl.handle.net/2072/63321
Language: eng
Publisher: IEEE
Rights: Tots els drets reservats
Subject: Béns de consum
Comerç electrònic
Consumidors -- Conducta
Mineria de dades
Sistemes experts (Informàtica)
Consumer goods
Consumer behavior
Data mining
Electronic commerce
Expert systems (Computer science)
Title: Recommender System Based on Consumer Product Reviews
Type: info:eu-repo/semantics/article
Repository: Recercat

Subjects

Authors