Matthew Goldman

Information Systems · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Information Systems — 16 citations into it
• Artificial Intelligence — 13 citations into it
• Marketing — 8 citations into it
• Management Science and Operations Research — 6 citations into it

Whom Matthew Goldman trusts overall

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

1. Jie Zhang
2. L. Eon Bottou
3. Tom Fawcett

Who trusts Matthew Goldman overall

1. Susan Athey
2. Francisco J. R. Ruiz

Papers from Matthew Goldman's perspective

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

1. Regression-based latent factor models
2. Item-based collaborative filtering recommendation algorithms
3. Matrix Factorization Techniques for Recommender Systems
4. Large-Scale Machine Learning with Stochastic Gradient Descent
5. Hybrid Recommender Systems: Survey and Experiments
6. BPR: Bayesian Personalized Ranking from Implicit Feedback
7. A unified approach to building hybrid recommender systems
8. Generalized Linear Mixed Models
9. Content-Based Recommendation Systems
10. A Hierarchical Bayes Model of Primary and Secondary Demand

Their papers

• Modeling Consumer Preferences and Price Sensitivities from Large-Scale Grocery Shopping Transaction Logs (2017) — 63 citations