Dynamic Pricing Strategy for Data Product Through Deep Reinforcement Learning
With the rapid development of the data trading market, traditional fixed pricing strategies can no longer effectively reflect the real value of data products, thereby restricting the development of the data trading market. To address this challenge, this paper proposes a dynamic pricing method for d...
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| Main Authors: | Junxin Shen, Yashi Wang, Fanghao Xiao |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10810405/ |
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