Personalized Ranking of Online Reviews Based on Consumer Preferences in Product Features-Reference-Cited by-同舟云学术

Personalized Ranking of Online Reviews Based on Consumer Preferences in Product Features

Published:2021-01-02 Issue:1 Volume:25 Page:29-50
ISSN:1086-4415
Container-title:International Journal of Electronic Commerce
language:en
Short-container-title:International Journal of Electronic Commerce

Author:

Dash Anupam¹,Zhang Dongsong²,Zhou Lina²

Affiliation:

1. Intelligent Automation Inc ., Rockville, MD

2. Department of Business Information Systems and Operations Management Belk College of Business, The University of North Carolina at Charlotte , Charlotte, NC

Publisher

Informa UK Limited

Subject

Economics and Econometrics,Business and International Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/10864415.2021.1846852

Reference78 articles.

1. How Do Expressed Emotions Affect the Helpfulness of a Product Review? Evidence from Reviews Using Latent Semantic Analysis

2. Helpfulness of Online Consumer Reviews: Readers' Objectives and Review Cues

3. Whose online reviews to trust? Understanding reviewer trustworthiness and its impact on business

4. Computing distances between partial rankings

5. Understanding Satisfied and Dissatisfied Hotel Customers: Text Mining of Online Hotel Reviews

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