On Sampled Metrics for Item Recommendation

<aside> 🏆 Best Paper Award

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https://www.youtube.com/watch?v=4ZiCfs7OXQ0

• tl;dr

On Sampling Top-K Recommendation Evaluation

https://www.youtube.com/watch?v=Ld4EbC1J9rc&feature=youtu.be

• What do we do after previous paper? ☝️

Compositional Embeddings Using Complementary Partitions for Memory-Efficient Recommendation Systems

Compositional Embeddings Using Complementary Partitions for Memory-Efficient Recommendation Systems

https://www.youtube.com/watch?v=wLhODsQY6_E&feature=youtu.be

• tl;dr

Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation

https://www.youtube.com/watch?v=lAOruaU9Ox4&feature=youtu.be

• tl;dr

Dual Channel Hypergraph Collaborative Filtering

http://youtube.com/watch?v=0DwLNnPluPA&feature=youtu.be