Guohui Ling

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 Guohui Ling trusts

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

1. Robin D. Burke (in Information Systems)

Papers from Guohui Ling's perspective

Ordered by how strongly the researchers Guohui Ling 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. How algorithmic confounding in recommendation systems increases homogeneity and decreases utility
8. Recommendations as Treatments: Debiasing Learning and Evaluation
9. Controlling Popularity Bias in Learning-to-Rank Recommendation (ACM Conference on Recommender Systems)
10. Item popularity and recommendation accuracy

Their papers

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