QUARE: 2nd Workshop on Measuring the Quality of Explanations in Recommender Systems-Reference-Cited by-同舟云学术

QUARE: 2nd Workshop on Measuring the Quality of Explanations in Recommender Systems

Published:2023-09-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 17th ACM Conference on Recommender Systems
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Author:

Inel Oana¹^ORCID,Mattis Nicolas²^ORCID,Norkute Milda³^ORCID,Piscopo Alessandro⁴^ORCID,Schmude Timothée⁵^ORCID,Vrijenhoek Sanne⁶^ORCID,Balog Krisztian⁷^ORCID

Affiliation:

1. Department of Informatics, University of Zurich, Switzerland

2. Vrije Universiteit Amsterdam, Netherlands

3. Thomson Reuters, Switzerland

4. BBC, United Kingdom

5. University of Vienna, Austria

6. Institute for Information Law, University of Amsterdam, Netherlands

7. Google, Norway

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3604915.3608754

Reference14 articles.

1. Multistakeholder recommendation: Survey and research directions

2. Measuring Recommendation Explanation Quality

3. ReXPlug: Explainable Recommendation using Plug-and-Play Language Model

4. Interactive recommender systems: A survey of the state of the art and future research challenges and opportunities

5. Markus Langer , Daniel Oster , Timo Speith , Holger Hermanns , Lena Kästner , Eva Schmidt , Andreas Sesing , and Kevin Baum . 2021. What do we want from Explainable Artificial Intelligence (XAI)? – A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research. Artificial Intelligence 296 (July 2021 ), 103473. Markus Langer, Daniel Oster, Timo Speith, Holger Hermanns, Lena Kästner, Eva Schmidt, Andreas Sesing, and Kevin Baum. 2021. What do we want from Explainable Artificial Intelligence (XAI)? – A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research. Artificial Intelligence 296 (July 2021), 103473.