NetEase Cloud Music Data

12 Pages Posted: 27 Apr 2020 Last revised: 1 May 2020

See all articles by Dennis Zhang

Dennis Zhang

Washington University in St. Louis - John M. Olin Business School

Ming Hu

University of Toronto - Rotman School of Management

Xiaofei Liu

affiliation not provided to SSRN

Yuxiang Wu

affiliation not provided to SSRN

Yong Li

affiliation not provided to SSRN

Date Written: March 16, 2020

Abstract

This paper describes the impression data and corresponding user, creator, and music content card data from NetEase Cloud Music. This data set is collectively supplied by the Revenue Management and Pricing (RMP) Section of INFORMS and NetEase Cloud Music to support data-driven research in Operations Management. The data contains more than 57 million impressions of music content cards recommended to a random sample of 2,085,533 users from November 1st, 2019 to November 30th, 2019. For each impression, the data provides the user actions in response to the recommended music content, such as clicks, likes, and follows. Moreover, the data set also contains information on each user, each content creator, and each content in the impression sample.

Keywords: Data Competition, Platform Operations, Revenue Management

Suggested Citation

Zhang, Dennis and Hu, Ming and Liu, Xiaofei and Wu, Yuxiang and Li, Yong, NetEase Cloud Music Data (March 16, 2020). Available at SSRN: https://ssrn.com/abstract=3554826 or http://dx.doi.org/10.2139/ssrn.3554826

Dennis Zhang (Contact Author)

Washington University in St. Louis - John M. Olin Business School ( email )

One Brookings Drive
Campus Box 1133
St. Louis, MO 63130-4899
United States

Ming Hu

University of Toronto - Rotman School of Management ( email )

105 St. George st
Toronto, ON M5S 3E6
Canada
416-946-5207 (Phone)

HOME PAGE: http://ming.hu

Xiaofei Liu

affiliation not provided to SSRN

Yuxiang Wu

affiliation not provided to SSRN

Yong Li

affiliation not provided to SSRN

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