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Causal Representation Learning for Generalisable Recommendation
A causal disentanglement objective improves recommender out-of-distribution generalization by isolating invariant causal components, yielding substantial online engagement gains in Spotify A/B tests.
Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026
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AI panel: 17 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 3/5