Adversarial neural collaborative filtering with embedding dimension correlations

HIGHLIGHTS

• who: Data Intelligence. et al. from the Hubei University of Technology, School of Computer Science, Wuhan, China have published the article: Adversarial Neural Collaborative Filtering with Embedding Dimension Correlations, in the Journal: (JOURNAL)
• what: The authors propose a novel model of Adversarial Neural Collaborative Filtering with named ANCF in short to address the adversarial problem of CNN-based recommendation system. The paper focuses on the CNN-based CF and adversarial training.

SUMMARY

Pr The inner products of latent features vectors can approximate the user-item interaction well, and are powerful for . . .

 



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