Abstract
QUARE1 - measuring the QUality of explAnations in REcommender systems - is the second workshop which focuses on evaluation methodologies for explanations in recommender systems. We bring together researchers and practitioners from academia and industry to facilitate discussions about the main issues and best practices in the respective areas, identify possible synergies, and outline priorities regarding future research directions. Additionally, we want to stimulate reflections around methods to systematically and holistically assess explanation approaches, impact, and goals, at the interplay between organisational and human values. To that end, this workshop aims to co-create a research agenda for evaluating the quality of explanations for recommender systems.
Original language | English |
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Title of host publication | RecSys 2023 |
Subtitle of host publication | Proceedings of the 17th ACM Conference on Recommender Systems |
Publisher | Association for Computing Machinery, Inc |
Pages | 1241-1243 |
Number of pages | 3 |
ISBN (Electronic) | 9798400702419 |
DOIs | |
Publication status | Published - Sept 2023 |
Event | 17th ACM Conference on Recommender Systems, RecSys 2023 - Singapore, Singapore Duration: 18 Sept 2023 → 22 Sept 2023 |
Conference
Conference | 17th ACM Conference on Recommender Systems, RecSys 2023 |
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Country/Territory | Singapore |
City | Singapore |
Period | 18/09/23 → 22/09/23 |
Bibliographical note
Publisher Copyright:© 2023 Owner/Author.
Keywords
- explanation evaluation
- explanation goals
- explanation quality
- Recommender systems