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

Research article (IEEE Access, 2020) · cited 16× · AI/ML
academia openalex:W3008165874
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Generating Realistic Users Using Generative Adversarial Network With Recommendation-Based Embedding

Summary

Generating Realistic Users Using Generative Adversarial Network With Recommendation-Based Embedding is a scholarly article[1].

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  • Generating Realistic Users Using Generative Adversarial Network With Recommendation-Based Embedding's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Generating Realistic Users Using Generative Adversarial Network With Recommendation-Based Embedding. Retrieved May 24, 2026, from https://4ort.xyz/entity/generating-realistic-users-using-generative-adversarial-network-with-recommendation-based-embedding
MLA “Generating Realistic Users Using Generative Adversarial Network With Recommendation-Based Embedding.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/generating-realistic-users-using-generative-adversarial-network-with-recommendation-based-embedding.
BibTeX @misc{4ortxyz_generating-realistic-users-using-generative-adversarial-network-with-recommendation-based-embedding_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Generating Realistic Users Using Generative Adversarial Network With Recommendation-Based Embedding}}, year = {2026}, url = {https://4ort.xyz/entity/generating-realistic-users-using-generative-adversarial-network-with-recommendation-based-embedding}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Generating Realistic Users Using Generative Adversarial Network With Recommendation-Based Embedding — https://4ort.xyz/entity/generating-realistic-users-using-generative-adversarial-network-with-recommendation-based-embedding (retrieved 2026-05-24)

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