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News/Causal Representation Learning for Generalisable Recommendation
arxiv
PublishedOctober 27, 2026 at 4:00 AM

Causal Representation Learning for Generalisable Recommendation

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arXiv:2605.27043v2 Announce Type: replace-cross Abstract: Predictive models trained on observational data often fail to generalise when deployed, especially when the training data is a product of the system being optimised. Recommender systems are a canonical example: they are trained on interaction

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