Shi Feng

Recommender Systems · with Zhang · 2013

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Recommender Systems — 7 citations into it

Whom Shi Feng trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Nati Srebro
2. Ruslan Salakhutdinov
3. Daniel D. Lee

Who trusts Shi Feng overall

1. Yongfeng Zhang

Papers from Shi Feng's perspective

Ordered by how strongly the researchers Shi Feng trusts endorse each paper. Same corpus, a different order for every researcher.

1. Et al
2. Learning the parts of objects by non-negative matrix factorization
3. Maximum-Margin Matrix Factorization
4. Fast maximum margin matrix factorization for collaborative prediction
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. An open architecture for collaborative filtering of netnews
7. Weighted Low-Rank Approximations
8. ImageNet classification with deep convolutional neural networks
9. Gradient-based learning applied to document recognition
10. Probabilistic Matrix Factorization

Their papers

• Localized matrix factorization for recommendation based on matrix block diagonal forms (2013) — 78 citations