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Conference proceeding
AltRecSys: A Workshop on Alternative, Unexpected, and Critical Ideas in Recommendation
Proceedings of the 18th ACM Conference on Recommender Systems, pp 1216-1218
08 Oct 2024
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The AltRecsys workshop, held in conjunction with the 18th edition of the ACM Conference on Recommender Systems (RecSys) in Bari, Italy, provides a platform for highlighting “alternative” work in recommender systems. Modeled after alt.chi and the CRAFT sessions at the FAccT conference, AltRecSys offers a space to discuss interesting, preliminary, offbeat, unexpected, and critical ideas in recommender systems that do not (yet) fit well into the kinds of publications and formats for the main conference or traditional workshops. This workshop is not a venue to showcase research advances. Instead, it is envisioned as a forum where researchers, (industry) practitioners, and other associated stakeholders can exchange ideas and together identify areas of study and new questions to expand the discussions and research agendas of the RecSys community in future years. The call for contributions and the workshop sessions are centered around the question “what are the vital questions, needs, or opportunities that the RecSys community is currently overlooking?”
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Details
- Title
- AltRecSys: A Workshop on Alternative, Unexpected, and Critical Ideas in Recommendation
- Creators
- Michael Ekstrand - Drexel UniversityMaria Soledad Pera - Delft University of TechnologyAlan Said - University of Gothenburg
- Contributors
- Tommaso Di Noia (Editor)Pasquale Lops (Editor)Thorsten Joachims (Editor)Katrien Verbert (Editor)Pablo Castells (Editor)Zhenhua Dong (Editor)Ben London (Editor)
- Publication Details
- Proceedings of the 18th ACM Conference on Recommender Systems, pp 1216-1218
- Conference
- RecSys '24: 18th ACM Conference on Recommender Systems
- Series
- ACM Conferences
- Publisher
- ACM; NEW YORK
- Number of pages
- 3
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:001336908500176
- Scopus ID
- 2-s2.0-85210500123
- Other Identifier
- 991021910600104721
UN Sustainable Development Goals (SDGs)
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Information Systems
- Computer Science, Interdisciplinary Applications
- Computer Science, Theory & Methods