Hierarchical Modeling and Shrinkage for User Session LengthPrediction in Media Streaming
An important metric of users' satisfaction and engagement within on-line streaming services is the user session length, i.e. the amount of time they spend on a service continuously without interruption. Being able to predict this value directly benefits the recommendation and ad pacing contexts...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Published: |
Association for Computer Machinery
2019
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| Online Access: | http://hdl.handle.net/1721.1/120991 https://orcid.org/0000-0003-1384-9743 |