Review Helpfulness Prediction: Survey

Yasamyian Almutairi, Manal Abdullah, Dimah Alahmadi

Abstract


Online reviews have become the major driving factor influencing purchasing behavior and patterns of social customers. However, it is difficult for customer to cover good reviews about any product or service according to massive amount of reviews latest years. Many previous researches provide innovative models about predicting review helpfulness in E-commerce websites. Some of these studies exploring the direct effect of review attributes on review helpfulness while others focused on reviewer’s attributes only. The main objective of this research is to review the most important attributes that have an affect on review helpfulness from many perspectives such as datasets, techniques, frameworks and evaluation methods of the experiments. The paper ends up with important findings about most attributes effect the review helpfulness such as Review Valence

Keywords


Review helpfulness, Recommender system

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DOI: http://dx.doi.org/10.21533/pen.v7i1.420

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Copyright (c) 2019 Yasamyian Almutairi, Manal Abdullah, Dimah Alahmadi

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

ISSN: 2303-4521

Digital Object Identifier DOI: 10.21533/pen

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License