Quantifying Assimilate-Contrast Effects in Online Rating Systems-Reference-Cited by-同舟云学术

Quantifying Assimilate-Contrast Effects in Online Rating Systems

Published:2021-08-14 Issue: Volume: Page:
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Container-title:Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining
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Author:

Zhong Mingze¹,Xie Hong¹,Zhu Qingsheng¹

Affiliation:

1. College of Computer Science, Chongqing University, Chongqing, China

Funder

Chongqing Natural Science Foundation

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3447548.3467244

Reference43 articles.

1. Gediminas Adomavicius Jesse C Bockstedt Shawn P Curley and Jingjing Zhang. 2016. Understanding Effects of Personalized vs. Aggregate Ratings on User Preferences.. In IntRS@ RecSys . 14--21. Gediminas Adomavicius Jesse C Bockstedt Shawn P Curley and Jingjing Zhang. 2016. Understanding Effects of Personalized vs. Aggregate Ratings on User Preferences.. In IntRS@ RecSys . 14--21.

2. Anonymous. 2021. TR. https://1drv.ms/b/s!AkqQNKuLPUbEimpJEcn0AJJ64Pcv . Anonymous. 2021. TR. https://1drv.ms/b/s!AkqQNKuLPUbEimpJEcn0AJJ64Pcv .

3. Jonah Berger. 2012. Bad Reviews Can Boost Sales. Here's Why .Harvard Business Review. Jonah Berger. 2012. Bad Reviews Can Boost Sales. Here's Why .Harvard Business Review.

4. BrightLocal. 2016. Local Consumer Review Survey .BrightLocal. BrightLocal. 2016. Local Consumer Review Survey .BrightLocal.

5. Aspect-Aware Latent Factor Model

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