Chonggang Song

Information Systems · 2021

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 16 citations into it

Whom Chonggang Song trusts

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

1. Robin D. Burke (in Information Systems)

Papers from Chonggang Song's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
3. Probabilistic Matrix Factorization
4. BPR: Bayesian Personalized Ranking from Implicit Feedback
5. Modeling User Exposure in Recommendation
6. Neural Collaborative Filtering
7. Recommendations as Treatments: Debiasing Learning and Evaluation
8. How algorithmic confounding in recommendation systems increases homogeneity and decreases utility
9. Controlling Popularity Bias in Learning-to-Rank Recommendation (ACM Conference on Recommender Systems)
10. Causality

Their papers

• Causal Intervention for Leveraging Popularity Bias in Recommendation (2021) — 535 citations