Neil Rubens

Information Systems · 2016

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 23 citations into it
• Management Science and Operations Research — 16 citations into it
• Artificial Intelligence — 10 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it

Whom Neil Rubens trusts overall

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

1. Yehuda Koren
2. Robin D. Burke
3. Nadav Golbandi
4. Gediminas Adomavicius
5. Robert M. Bell
6. Xiaoyuan Su
7. Abhay Harpale

Papers from Neil Rubens's perspective

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

1. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
2. Getting to know you: learning new user preferences in recommender systems
3. Learning preferences of new users in recommender systems: an information theoretic approach
4. On bootstrapping recommender systems
5. Factorization meets the neighborhood: a multifaceted collaborative filtering model
6. Matrix Factorization Techniques for Recommender Systems
7. Performance of recommender algorithms on top-n recommendation tasks
8. Evaluating Recommendation Systems
9. Hybrid Recommender Systems: Survey and Experiments
10. Advances in Collaborative Filtering

Their papers

• A survey of active learning in collaborative filtering recommender systems (2016) — 299 citations