Kosetsu Tsukuda
Information Systems · 2019
A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 11 citations into it
- Artificial Intelligence — 7 citations into it
Whom Kosetsu Tsukuda trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Rodrygo L. T. Santos
- Cai-Nicolas Ziegler
- Stephen H. Bach
- Yutao Zhang
- J. Konstan
- Robin D. Burke
- Nava Tintarev
- Craig Macdonald
- Sean M. McNee
- Matthias Broecheler
Who trusts Kosetsu Tsukuda overall
Papers from Kosetsu Tsukuda's perspective
Ordered by how strongly the researchers Kosetsu Tsukuda trusts endorse each paper. Same corpus, a different order for every researcher.
- Item-based collaborative filtering recommendation algorithms
- Explaining collaborative filtering recommendations
- Attention is All you Need (Neural Information Processing Systems)
- Improving recommendation lists through topic diversification
- Tagsplanations: explaining recommendations using tags
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Exploiting query reformulations for web search result diversification (The Web Conference)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
Their papers
- DualDiv: diversifying items and explanation styles in explainable hybrid recommendation (2019) — 15 citations