Mehdi Elahi

Information Systems · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 47 citations into it
• Management Science and Operations Research — 27 citations into it
• Artificial Intelligence — 24 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it
• Signal Processing — 11 citations into it
• Recommender Systems — 9 citations into it
• Computer Science Applications — 7 citations into it
• Clinical Psychology — 5 citations into it

Whom Mehdi Elahi 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
8. Francesco Ricci
9. Samuel D. Gosling
10. Ke Zhou

Papers from Mehdi Elahi's perspective

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

1. Getting to know you: learning new user preferences in recommender systems
2. Evaluating collaborative filtering recommender systems
3. Empirical Analysis of Predictive Algorithms for Collaborative Filtering
4. Item-based collaborative filtering recommendation algorithms
5. Using collaborative filtering to weave an information tapestry
6. Learning preferences of new users in recommender systems: an information theoretic approach
7. On bootstrapping recommender systems
8. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
9. Factorization meets the neighborhood: a multifaceted collaborative filtering model
10. Matrix Factorization Techniques for Recommender Systems

Their papers

• A survey of active learning in collaborative filtering recommender systems (2016) — 299 citations
• Current challenges and visions in music recommender systems research (2017) — 362 citations