A multi agent recommender system that utilises consumer reviews in its recommendations

Debbie Zhang; Simeon J. Simoff; Silvana Aciar; John K. Debenham

doi:10.1504/IJIIDS.2008.017245

A multi agent recommender system that utilises consumer reviews in its recommendations

Debbie Zhang
, Simeon J. Simoff
, Silvana Aciar
, John K. Debenham

School of Computer, Data & Mathematical Sciences

Research output: Contribution to journal › Article

12 Citations (Scopus)

Abstract

Consumer reviews, opinions and shared experiences in the use of a product form a powerful source of information about consumer preferences that can be used for making recommendations. A novel approach, which utilises this valuable information sources first time to create recommendations in recommender agents was recently developed by Aciar et al. (2007). This paper presents a general framework of this approach. The proposed approach is demonstrated using digital camera reviews as an example.

Original language	English
Number of pages	13
Journal	International Journal of Intelligent Information and Database Systems
DOIs	https://doi.org/10.1504/IJIIDS.2008.017245
Publication status	Published - 2008

Keywords

consumer behavior
data mining
digital cameras
intelligent agents (computer software)
recommender systems (information filtering)
text processing (computer science)

Access to Document

10.1504/IJIIDS.2008.017245

Cite this

@article{9517a3f41007438b972fdc1aae307078,

title = "A multi agent recommender system that utilises consumer reviews in its recommendations",

abstract = "Consumer reviews, opinions and shared experiences in the use of a product form a powerful source of information about consumer preferences that can be used for making recommendations. A novel approach, which utilises this valuable information sources first time to create recommendations in recommender agents was recently developed by Aciar et al. (2007). This paper presents a general framework of this approach. The proposed approach is demonstrated using digital camera reviews as an example.",

keywords = "consumer behavior, data mining, digital cameras, intelligent agents (computer software), recommender systems (information filtering), text processing (computer science)",

author = "Debbie Zhang and Simoff, \{Simeon J.\} and Silvana Aciar and Debenham, \{John K.\}",

year = "2008",

doi = "10.1504/IJIIDS.2008.017245",

language = "English",

journal = "International Journal of Intelligent Information and Database Systems",

issn = "1751-5858",

publisher = "Inderscience Enterprises Ltd",

}

TY - JOUR

T1 - A multi agent recommender system that utilises consumer reviews in its recommendations

AU - Zhang, Debbie

AU - Simoff, Simeon J.

AU - Aciar, Silvana

AU - Debenham, John K.

PY - 2008

Y1 - 2008

N2 - Consumer reviews, opinions and shared experiences in the use of a product form a powerful source of information about consumer preferences that can be used for making recommendations. A novel approach, which utilises this valuable information sources first time to create recommendations in recommender agents was recently developed by Aciar et al. (2007). This paper presents a general framework of this approach. The proposed approach is demonstrated using digital camera reviews as an example.

AB - Consumer reviews, opinions and shared experiences in the use of a product form a powerful source of information about consumer preferences that can be used for making recommendations. A novel approach, which utilises this valuable information sources first time to create recommendations in recommender agents was recently developed by Aciar et al. (2007). This paper presents a general framework of this approach. The proposed approach is demonstrated using digital camera reviews as an example.

KW - consumer behavior

KW - data mining

KW - digital cameras

KW - intelligent agents (computer software)

KW - recommender systems (information filtering)

KW - text processing (computer science)

UR - http://handle.uws.edu.au:8081/1959.7/512518

U2 - 10.1504/IJIIDS.2008.017245

DO - 10.1504/IJIIDS.2008.017245

M3 - Article

SN - 1751-5858

JO - International Journal of Intelligent Information and Database Systems

JF - International Journal of Intelligent Information and Database Systems

ER -

A multi agent recommender system that utilises consumer reviews in its recommendations

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this