NetEase Cloud Music Data

Dennis J. Zhang (), Ming Hu (), Xiaofei Liu (), Yuxiang Wu () and Yong Li ()
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Dennis J. Zhang: Operations and Manufacturing Management, Olin Business School, Washington University in St. Louis, St. Louis, Missouri 63130
Ming Hu: Operations Management and Statistics, Rotman School of Management, University of Toronto, Toronto, Ontario M5S 3E6, Canada
Xiaofei Liu: Engineering Group, Netease Cloud Music Inc., Hangzhou, Zhejiang 310052, China
Yuxiang Wu: Engineering Group, Netease Cloud Music Inc., Hangzhou, Zhejiang 310052, China
Yong Li: Engineering Group, Netease Cloud Music Inc., Hangzhou, Zhejiang 310052, China

Manufacturing & Service Operations Management, 2022, vol. 24, issue 1, 275-284

Abstract: This paper describes the impression/display 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 contain more than 57 million impressions/displays of music content cards recommended to a random sample of 2, 085, 533 users from November 1, 2019 to November 30, 2019. For each impression, the data provide the corresponding user activities, 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 (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:inm:ormsom:v:24:y:2022:i:1:p:275-284

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