Profiling and Predicting the Cumulative Helpfulness (Quality) of Crowd-Sourced Reviews
With easy access to the Internet and the popularity of online review platforms, the volume of crowd-sourced reviews is continuously rising. Many studies have acknowledged the importance of reviews in making purchase decisions. The consumer’s feedback plays a vital role in the success or fa...
Main Authors: | Muhammad Bilal, Mohsen Marjani, Ibrahim Abaker Targio Hashem, Abdullah Gani, Misbah Liaqat, Kwangman Ko |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-09-01
|
Series: | Information |
Subjects: | |
Online Access: | https://www.mdpi.com/2078-2489/10/10/295 |
Similar Items
-
Profiling Users’ Behavior, and Identifying Important Features of Review “Helpfulness”
by: Muhammad Bilal, et al.
Published: (2020-01-01) -
Method for Ranking the Helpfulness of Online Reviews Based on SO-ILES TODIM
by: Huifang Dong, et al.
Published: (2021-01-01) -
Factors Affecting Review Helpfulness:
by: Kaichi Saito
Published: (2021-03-01) -
Identification of significant features and machine learning technique in predicting helpful reviews
by: Shah Jafor Sadeek Quaderi, et al.
Published: (2024-01-01) -
Learning to help : basic skills exercises/
by: 337747 Priestley, Philip, et al.
Published: (1983)