Santosh Kabbur

Information Systems · 2013

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 7 citations into it; #1,347 of 8,771 by trust here, #2,741 by citations
• Recommender Systems — 5 citations into it

Whom Santosh Kabbur trusts overall

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

1. Yehuda Koren
2. Arkadiusz Paterek
3. Bracha Shapira
4. George Karypis
5. Michael J. Pazzani
6. Mukund Deshpande
7. Xia Ning
8. Raymond J. Mooney
9. Paolo Cremonesi
10. Daniel Billsus

Who trusts Santosh Kabbur overall

1. Weike Pan
2. Xiangnan He
3. Xiang Wang
4. Wang-Cheng Kang
5. Malte Ludewig
6. Christian Desrosiers
7. Robin Devooght
8. Fei Sun
9. Chen Ma
10. Shiwen Wu

Papers from Santosh Kabbur's perspective

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

1. Performance of recommender algorithms on top-n recommendation tasks
2. Improving regularized singular value decomposition for collaborative filtering
3. Content-based book recommending using learning for text categorization
4. Factorization meets the neighborhood: a multifaceted collaborative filtering model
5. SLIM: Sparse Linear Methods for Top-N Recommender Systems
6. Item-based top-N recommendation algorithms
7. Content-Based Recommendation Systems
8. Recommender Systems Handbook
9. Attention is All you Need (Neural Information Processing Systems)
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• FISM: factored item similarity models for top-N recommender systems (2013) — 732 citations