Exploring the Role of Local and Global Explanations in Recommender Systems-Reference-Cited by-同舟云学术

Exploring the Role of Local and Global Explanations in Recommender Systems

Published:2022-04-27 Issue: Volume: Page:
ISSN:
Container-title:CHI Conference on Human Factors in Computing Systems Extended Abstracts
language:
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Author:

Radensky Marissa¹,Downey Doug²,Lo Kyle³,Popovic Zoran⁴,Weld Daniel S⁵

Affiliation:

1. University of Washington, United States

2. Allen Institute for Artificial Intelligence, United States and Northwestern University, USA

3. Allen Institute for Artificial Intelligence, United States

4. Center for Game Science, Computer Science and Engineering, University of Washington, United States

5. Paul G. Allen School of Computer Science & Engineering, University of Washington, United States and Semantic Scholar, Allen Institute for Artificial Intelligence, United States

Funder

University of Washington

Allen Institute for Artificial Intelligence

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3491101.3519795

Reference37 articles.

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3. Svetlin Bostandjiev J. O’Donovan and Tobias Höllerer. 2012. TasteWeights: a visual interactive hybrid recommender system. In RecSys ’12. Svetlin Bostandjiev J. O’Donovan and Tobias Höllerer. 2012. TasteWeights: a visual interactive hybrid recommender system. In RecSys ’12.

4. Svetlin Bostandjiev J. O’Donovan and Tobias Höllerer. 2013. LinkedVis: exploring social and semantic career recommendations. In IUI ’13. Svetlin Bostandjiev J. O’Donovan and Tobias Höllerer. 2013. LinkedVis: exploring social and semantic career recommendations. In IUI ’13.

5. S. Bruns André Calero Valdez Christoph Greven M. Ziefle and U. Schroeder. 2015. What Should I Read Next? A Personalized Visual Publication Recommender System. In HCI. S. Bruns André Calero Valdez Christoph Greven M. Ziefle and U. Schroeder. 2015. What Should I Read Next? A Personalized Visual Publication Recommender System. In HCI.

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