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Explaining recommendations in an interactive hybrid social recommender

Talkat IUI 2019 · 2019-03-17..03-20· [ai-assisted-development]
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An interactive hybrid social recommender is built with a Relevance Tuner interface and a version with Relevance Tuner Plus that adds explanation icons showing publication cosine similarities with a ring diagram, topic overlaps via topic modeling and a radar chart, and coauthor paths on a graph. A within subject online study (N=33) finds 90% use the sliders but only 50% click explanations, and explanations raise perceived explainability while lowering perceived controllability and ease of use.

AI-written summary · about

  1. 0:00Introduction to hybrid recommenders
  2. 1:09Problem with static fusion
  3. 2:13Introducing relevance tuner
  4. 2:33Adding explanation icons
  5. 3:15Explaining publication similarity
  6. 4:21Explaining topic similarity
  7. 5:30Explaining co-authorship network
  8. 6:36User study design
  9. 7:37Information-seeking tasks
  10. 8:21User feedback on explanations
  11. 9:26Trade-off in user perceptions
  12. 10:10Conclusions and future work
  13. 11:12Q&A and closing
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