Daniel Holliday

2016

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Daniel Holliday trusts overall

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

  1. Nava Tintarev
  2. Pearl Huan Z. Pu
  3. Andrea Bunt
  4. Henriette S. M. Cramer
  5. Todd Kulesza
  6. Judith Masthoff
  7. Li Chen
  8. Matthew Lount
  9. D. Harrison McKnight

Who trusts Daniel Holliday overall

  1. Amina Adadi

Papers from Daniel Holliday's perspective

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

  1. The effects of transparency on trust in and acceptance of a content-based art recommender
  2. Evaluating the effectiveness of explanations for recommender systems
  3. Trust building with explanation interfaces (International Conference on Intelligent User Interfaces)
  4. Explaining collaborative filtering recommendations
  5. Are explanations always important?: a study of deployed, low-cost intelligent interactive systems
  6. Trust and Distrust Definitions: One Bite at a Time (Trust in Cyber-societies)
  7. Explanatory Debugging: Supporting End-User Debugging of Machine-Learned Programs
  8. Effective explanations of recommendations: user-centered design
  9. The role of transparency in recommender systems
  10. Tagsplanations: explaining recommendations using tags

Their papers