Papers with catalog-aware beam search decoder

1 papers
RecGPT: A Foundation Model for Sequential Recommendation (2025.emnlp-main)

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Challenge: Existing approaches fail in cold-start and cross-domain scenarios where new users or items lack sufficient interaction history.
Approach: They propose a foundation model for sequential recommendation that achieves genuine zero-shot generalization capabilities by deriving item representations exclusively from textual features.
Outcome: The proposed model achieves zero-shot generalization capabilities in cold-start and cross-domain scenarios.

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