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Generating Realistic Users Using Generative Adversarial Network With Recommendation-Based Embedding

User data has been used by many companies to understand user behaviors and finding new business strategies. However, common techniques cannot be used when it comes to new products that have not yet been released due to the fact that there are no prior data available. In this work, we propose a frame...

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Principais autores: Parichat Chonwiharnphan, Pipop Thienprapasith, Ekapol Chuangsuwanich
格式: Artigo
語言:Inglês
出版: IEEE 2020-01-01
叢編:IEEE Access
主題:
在線閱讀:https://ieeexplore.ieee.org/document/9016238/
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