Published March 4, 2024
| Version v1
Software
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Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty
Description
This is the repository of the WWW 2024 industry track paper: Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty. The paper can refer to https://arxiv.org/abs/2404.08301.
Files
colabltv.zip
Files
(88.5 kB)
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md5:6e084cc75eaecc83b2e5fc28587c5110
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Additional details
Funding
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation
Software
- Repository URL
- https://github.com/PeiJieSun/colab_ltv
- Programming language
- Python
- Development Status
- Active