NetEase Cloud Music Data
Autor: | Xiaofei Liu, Yuxiang Wu, Dennis J. Zhang, Yong Li, Ming Hu |
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Rok vydání: | 2022 |
Předmět: |
Revenue management
Database Computer science business.industry Strategy and Management Section (typography) Sample (statistics) Cloud computing Content creator Management Science and Operations Research computer.software_genre Impression World Wide Web Data set Revenue Data set (IBM mainframe) business computer |
Zdroj: | Manufacturing & Service Operations Management. 24:275-284 |
ISSN: | 1526-5498 1523-4614 |
Popis: | 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 [Formula: see text] 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. |
Databáze: | OpenAIRE |
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