Causality and Sequential Decision-Making for RecSys
CONSEQUENCES 26: The 5th Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems
In conjunction with
ACM Conference on Recommender Systems 2026
September 28, 2026 - October 2, 2026
Minneapolis Marriott City Center
Minneapolis, Minnesota, United States
The fifth CONSEQUENCES workshop treats recommendation as sequential decision-making under uncertainty rather than prediction. Topics include off-policy evaluation and learning, contextual bandits and reinforcement learning, causal inference from logged feedback, estimators for counterfactual questions about policies never deployed, and the feedback loops through which a recommender shapes the data it later trains on. One of the more technical workshops on the programme. Full-day workshop on Friday 2 October, the closing workshop day.
More workshops at ACM Conference on Recommender Systems 2026
- Reimagining RecSys Research and Practice — The second AltRecSys workshop is a deliberately critical venue for reimagining what recommender systems research...
- Interdisciplinarity of Recommender Systems — Beyond Algorithms brings disciplines that study recommendation from outside computer science into the room: psychology,...
- Context-Aware Recommender Systems — CARS is the long-running venue for context-aware recommendation, where the right suggestion depends not only...
- Data Quality-Aware Multimodal Recommendation — The second edition of DaQuaMRec focuses on data quality in multimodal recommendation, where models draw...
- Rethinking Research Assessment in RecSys — FRAME puts research methodology itself on the agenda, arguing that the field's measured progress depends...
- Agentic and Generative AI for E-Commerce — The third edition of GenAI-eCom covers generative and agentic AI in online retail, an area...
- Interfaces and Human Decision Making for RecSys — Now in its thirteenth edition, IntRS covers the half of recommendation that happens on screen:...
- Music Recommender Systems — The fourth Music Recommender Systems workshop covers what makes music awkward: catalogues of millions of...
- Online Adaptive Recommender Systems — OARS looks at recommenders that keep learning after deployment, rather than being retrained on a...
- RecSys for Sustainability and Social Good — The third RecSoGood workshop asks what recommenders should optimise for when the objective is not...
- Recommender Systems for Human Resources — The sixth RecSys in HR workshop covers recommendation in hiring and the labour market: matching...
- Temporal Reasoning in Recommendation — RecTemp is about time as a first-class signal rather than an index into a log....
- Recommenders in Tourism — RecTour reaches its tenth edition covering recommendation for travel and hospitality, a domain that breaks...
- Unified Search and Recommendation — USRW covers the convergence of search and recommendation, two fields that historically evolved separate models,...
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