E-commerce Product’s Trust Prediction Based on Customer Reviews-Reference-Cited by-同舟云学术

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E-commerce Product’s Trust Prediction Based on Customer Reviews

Published:2023 Issue: Volume: Page:375-383
ISSN:2367-3370
Container-title:Third Congress on Intelligent Systems
language:
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Author:

Kargirwar Hrutuja,Bhagavatula Praveen,Konde Shrutika,Chaudhari Paresh,Dhamde Vipul,Sakarkar Gopal^ORCID,Correa Juan C.^ORCID

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-9225-4_28

Reference25 articles.

1. Dai H, Chan C, Mogilner C (2020) People rely less on consumer reviews for experiential than material purchases. J Consum Res 46(6):1052–1075

2. Correa JC (2020) Metrics of emergence, self-organization, and complexity for EWOM research. Front Phys 8:35

3. Dash A, Zhang D, Zhou L (2021) Personalized ranking of online reviews based on consumer preferences in product features. Int J Electron Commer 25(1):29–50

4. Kandulapati S, Bellamkonda RS (2014) E-service quality: a study of online shoppers in India. Am J Bus 29(2):178–188

5. Zhang S, Zhong H (2019) Mining users trust from e-commerce reviews based on sentiment similarity analysis. IEEE Access 7:13523–13535

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing Product Categorization in E-commerce using NLP and Machine Learning;2024 International Conference on Inventive Computation Technologies (ICICT);2024-04-24

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