Leandro Bezerra Marinho

Information Systems · 2007–2009

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 15 citations into it; #3,954 of 8,771 by trust here, #3,012 by citations
• Computer Vision and Pattern Recognition — 8 citations into it; #12,096 of 21,575 by trust here, #11,083 by citations
• Artificial Intelligence — 7 citations into it; #30,373 of 35,345 by trust here, #21,878 by citations
• Computational Mathematics — 5 citations into it; #342 of 612 by trust here, #417 by citations
• Signal Processing — 5 citations into it

Whom Leandro Bezerra Marinho trusts overall

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

1. Robert Jäschke
2. Mukund Deshpande
3. Andreas Hotho
4. Tamara G. Kolda
5. Lieven De Lathauwer
6. Paul Heymann
7. Panagiotis Symeonidis
8. George Karypis
9. Jonathan L. Herlocker

Who trusts Leandro Bezerra Marinho overall

1. Sophie Ahrens
2. Steffen Rendle
3. Yue Shi
4. Lars Schmidt-Thieme
5. Jesús Bobadilla
6. S. Rudolph
7. Zhenghua Xu
8. Blerina Lika
9. J. Konstan
10. Xu Chen

Papers from Leandro Bezerra Marinho's perspective

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

1. Evaluating collaborative filtering recommender systems
2. Item-based collaborative filtering recommendation algorithms
3. A Multilinear Singular Value Decomposition
4. Information Retrieval in Folksonomies: Search and Ranking (Extended Semantic Web Conference)
5. Social Bookmarking Tools (I): A General Overview (D-Lib Magazine)
6. Folksonomies-Cooperative Classification and Communication Through Shared Metadata
7. Fast maximum margin matrix factorization for collaborative prediction
8. Non-negative tensor factorization with applications to statistics and computer vision (International Conference on Machine Learning)
9. Tag Recommendations in Folksonomies (LWA)
10. Scalable Tensor Decompositions for Multi-aspect Data Mining

Their papers

• Learning optimal ranking with tensor factorization for tag recommendation (2009) — 398 citations
• Tag-aware recommender systems by fusion of collaborative filtering algorithms (2008) — 431 citations
• Tag Recommendations in Folksonomies (2007) — 609 citations