Shay Ben-Elazar

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 5 citations into it
• Information Systems — 5 citations into it
• Recommender Systems — 5 citations into it

Whom Shay Ben-Elazar trusts overall

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

1. Ulrich Paquet
2. Jesse Vig
3. Noam Koenigstein
4. David McSherry
5. John Riedl
6. Shilad Sen
7. Nava Tintarev
8. Jonathan L. Herlocker
9. Badrul Munir Sarwar

Who trusts Shay Ben-Elazar overall

1. Yongfeng Zhang

Papers from Shay Ben-Elazar's perspective

Ordered by how strongly the researchers Shay Ben-Elazar trusts endorse each paper. Same corpus, a different order for every researcher.

1. Explaining collaborative filtering recommendations
2. Item-based collaborative filtering recommendation algorithms
3. A Survey of Explanations in Recommender Systems
4. Tagsplanations: explaining recommendations using tags
5. One-class collaborative filtering with random graphs
6. Explanation in Recommender Systems
7. Lessons from the Netflix prize challenge
8. Attention is All you Need (Neural Information Processing Systems)
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• A Hybrid Explanations Framework for Collaborative Filtering Recommender Systems (2014) — 8 citations