Chun-Hua Tsai

Information Systems · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chun-Hua Tsai trusts overall

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

  1. Nava Tintarev
  2. Judith Masthoff
  3. Julian McAuley
  4. Julia Silge
  5. Jonathan L. Herlocker
  6. Jesse Vig
  7. Alexis Papadimitriou
  8. Bart P. Knijnenburg
  9. Reinhard Heckel
  10. John Riedl

Who trusts Chun-Hua Tsai overall

  1. Yongfeng Zhang

Papers from Chun-Hua Tsai's perspective

Ordered by how strongly the researchers Chun-Hua Tsai trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Explaining collaborative filtering recommendations
  2. Tagsplanations: explaining recommendations using tags
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. A Survey of Explanations in Recommender Systems
  8. Do social explanations work?: studying and modeling the effects of social explanations in recommender systems
  9. Long Short-Term Memory
  10. Evaluating the effectiveness of explanations for recommender systems

Their papers