Profiling reviewers’ social network strength and predicting the “Helpfulness” of online customer review

Profiling reviewers’ social network strength and predicting the “Helpfulness” of online customer review

Online customer reviews have become a popular source of information that influences the purchasing decisions of many prospective customers. However, the rapidly increasing volume of online reviews presents a problem of information overload, which makes it difficult for customers to determine the qua...

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Bibliographic Details
Main Authors: Bilal, M., Marjani, M., Hashem, I.A.T., Malik, N., Lali, M.I.U., Abdullah Gani
Format: Article
Language:English
Published: Elsevier B.V. 2021
Subjects:
HV Social pathology. Social and public welfare. Criminology
QA Mathematics
Online Access:https://eprints.ums.edu.my/id/eprint/26885/1/Profiling%20reviewers%E2%80%99%20social%20network%20strength%20and%20predicting%20the%20%E2%80%9CHelpfulness%E2%80%9D%20of%20online%20customer%20review.pdf
https://eprints.ums.edu.my/id/eprint/26885/
https://www.scopus.com/record/display.uri?eid=2-s2.0-85098975601&origin=inward&txGid=bdc08090cc05127e5aaf8f466095a8a5
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Institution: Universiti Malaysia Sabah
Language: English

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https://eprints.ums.edu.my/id/eprint/26885/1/Profiling%20reviewers%E2%80%99%20social%20network%20strength%20and%20predicting%20the%20%E2%80%9CHelpfulness%E2%80%9D%20of%20online%20customer%20review.pdf
https://eprints.ums.edu.my/id/eprint/26885/
https://www.scopus.com/record/display.uri?eid=2-s2.0-85098975601&origin=inward&txGid=bdc08090cc05127e5aaf8f466095a8a5

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