Conference proceeding
The Second AltRecSys Workshop on Reimagining Recommender Systems Research & Practice
Proceedings of the 20th ACM Conference on Recommender Systems, pp 1876-1878
27 Sep 2026
Abstract
As the ACM RecSys Conference marks its 20th anniversary, we believe it is the right time to pause, take inventory, and reflect on what our field might have (inadvertently) overlooked due to its rapid growth and expanding real-world impact. This prompted the 2nd edition of AltRecSys—an alternative, provocative, and exploratory workshop set up to identify perspectives, questions, and directions that fall outside the classic framings of recommender system research and possibly question its fundamental assumptions. AltRecSys provides a space to reimagine RecSys research and practice by discussing work that is preliminary, offbeat, unexpected, and critical. Building on the lessons learned from the first edition, in this second iteration, we explore a central question: What have we, as a community, not been looking at? In particular, we examine the blind spots that have accumulated as recommender systems have become ubiquitous across domains, cultures, and institutions.
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Details
- Title
- The Second AltRecSys Workshop on Reimagining Recommender Systems Research & Practice
- Creators
- Maria Soledad Pera - Delft University of TechnologyMichael D. Ekstrand - Drexel UniversityAlan Said - University of Gothenburg
- Contributors
- Gediminas Adomavicius (Editor)George Karypis (Editor)Joseph A. Konstan (Editor)Bart Goethals (Editor)Martijn Willemsen (Editor)Minmin Chen (Editor)Arnab Bhadury (Editor)Felice Antonio Merra (Editor)Zhenhua Dong (Editor)
- Publication Details
- Proceedings of the 20th ACM Conference on Recommender Systems, pp 1876-1878
- Conference
- RecSys '26: 20th ACM Conference on Recommender Systems
- Series
- ACM Conferences
- Publisher
- Association for Computing Machinery (ACM)
- Number of pages
- 3
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Other Identifier
- 991022235044604721