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: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Assuntos: | |
| Acceso en liña: | https://ieeexplore.ieee.org/document/9016238/ |
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