Improving Customer Decisions Using Product Reviews: CROM - Car Review Opinion Miner

Maciej Dabrowski; Thomas Acton; Przemyslaw Jarzebowski; Sean Ó Riain

doi:10.13025/21764

Improving Customer Decisions Using Product Reviews: CROM - Car Review Opinion Miner

Maciej Dabrowski
, Thomas Acton
, Przemyslaw Jarzebowski
, Sean Ó Riain

Business Information Systems

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

Abstract

Online shopping is a very goal-oriented activity. Consumers have a set of preferences for a product or service that is used as criteria for assessment of the available alternatives. However, crucial information about products is often available as text reviews. Finding a product with specific features is extremely timeconsuming using the typical search functionality found in existing shopping sites. In this work we propose a method for the seamless integration of unstructured information from product reviews with structured product descriptions using opinion mining. We demonstrate our method through shopping for a used car based on 148240 car reviews. Evaluation results using a user study and simulations show that the technique enables customers to assess more product characteristics and potentially make better decisions.

Original language	English (Ireland)
Title of host publication	6th International Conference on Web Information Systems and Technologies
Place of Publication	Valencia, Spain
Publisher	Springer
DOIs	https://doi.org/10.13025/21764
Publication status	Published - 1 Jan 2010

Access to Document

10.13025/21764Licence: CC BY-NC-ND

2010 Improving customer decisions using product reviewsAccepted author manuscript, 154 KBLicence: CC BY-NC-ND

Cite this

@inproceedings{487a0c6ed8a2467abd03655bfeaaf483,

title = "Improving Customer Decisions Using Product Reviews: CROM - Car Review Opinion Miner",

abstract = "Online shopping is a very goal-oriented activity. Consumers have a set of preferences for a product or service that is used as criteria for assessment of the available alternatives. However, crucial information about products is often available as text reviews. Finding a product with specific features is extremely timeconsuming using the typical search functionality found in existing shopping sites. In this work we propose a method for the seamless integration of unstructured information from product reviews with structured product descriptions using opinion mining. We demonstrate our method through shopping for a used car based on 148240 car reviews. Evaluation results using a user study and simulations show that the technique enables customers to assess more product characteristics and potentially make better decisions.",

author = "Maciej Dabrowski and Thomas Acton and Przemyslaw Jarzebowski and \{{\'O} Riain\}, Sean",

year = "2010",

month = jan,

day = "1",

doi = "10.13025/21764",

language = "English (Ireland)",

booktitle = "6th International Conference on Web Information Systems and Technologies",

publisher = "Springer",

}

Improving Customer Decisions Using Product Reviews: CROM - Car Review Opinion Miner. / Dabrowski, Maciej; Acton, Thomas; Jarzebowski, Przemyslaw et al.
6th International Conference on Web Information Systems and Technologies. Valencia, Spain: Springer, 2010.

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

TY - GEN

T1 - Improving Customer Decisions Using Product Reviews: CROM - Car Review Opinion Miner

AU - Dabrowski, Maciej

AU - Acton, Thomas

AU - Jarzebowski, Przemyslaw

AU - Ó Riain, Sean

PY - 2010/1/1

Y1 - 2010/1/1

N2 - Online shopping is a very goal-oriented activity. Consumers have a set of preferences for a product or service that is used as criteria for assessment of the available alternatives. However, crucial information about products is often available as text reviews. Finding a product with specific features is extremely timeconsuming using the typical search functionality found in existing shopping sites. In this work we propose a method for the seamless integration of unstructured information from product reviews with structured product descriptions using opinion mining. We demonstrate our method through shopping for a used car based on 148240 car reviews. Evaluation results using a user study and simulations show that the technique enables customers to assess more product characteristics and potentially make better decisions.

AB - Online shopping is a very goal-oriented activity. Consumers have a set of preferences for a product or service that is used as criteria for assessment of the available alternatives. However, crucial information about products is often available as text reviews. Finding a product with specific features is extremely timeconsuming using the typical search functionality found in existing shopping sites. In this work we propose a method for the seamless integration of unstructured information from product reviews with structured product descriptions using opinion mining. We demonstrate our method through shopping for a used car based on 148240 car reviews. Evaluation results using a user study and simulations show that the technique enables customers to assess more product characteristics and potentially make better decisions.

UR - http://hdl.handle.net/10379/1420

U2 - 10.13025/21764

DO - 10.13025/21764

M3 - Conference Publication

BT - 6th International Conference on Web Information Systems and Technologies

PB - Springer

CY - Valencia, Spain

ER -

Improving Customer Decisions Using Product Reviews: CROM - Car Review Opinion Miner

Abstract

Access to Document

Other files and links

Fingerprint

Cite this