Yetunde Folajimi

Information Systems · 2015

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 28 citations into it
• Management Science and Operations Research — 11 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Artificial Intelligence — 8 citations into it
• Signal Processing — 8 citations into it
• Marketing — 5 citations into it

Whom Yetunde Folajimi trusts overall

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

1. Robin D. Burke
2. Michael J. Pazzani
3. Raymond J. Mooney
4. E.J. Candes
5. Yehuda Koren
6. Raghunandan H. Keshavan
7. David H. Stern
8. J. Konstan
9. Ken Goldberg
10. Jesús Bobadilla

Papers from Yetunde Folajimi's perspective

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

1. Item-based collaborative filtering recommendation algorithms
2. Evaluating collaborative filtering recommender systems
3. Improving recommendation lists through topic diversification
4. Recommendation as Classification: Using Social and Content-Based Information in Recommendation
5. A Framework for Collaborative, Content-Based and Demographic Filtering
6. Eigentaste: A Constant Time Collaborative Filtering Algorithm
7. Content-based book recommending using learning for text categorization
8. Hybrid Recommender Systems: Survey and Experiments
9. Getting to know you: learning new user preferences in recommender systems
10. Hybrid Web Recommender Systems (The Adaptive Web)

Their papers

• Recommendation systems: Principles, methods and evaluation (2015) — 1,299 citations