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...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Parichat Chonwiharnphan, Pipop Thienprapasith, Ekapol Chuangsuwanich
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	IEEE 2020-01-01
Sarja:	IEEE Access
Aiheet:	Generative adversarial networks deep learning generative model data generation Gumbel-softmax trick product embedding
Linkit:	https://ieeexplore.ieee.org/document/9016238/
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