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ChronicleRec: Pre-training Temporally Anchored Tokens for Lifelong User Modeling

Huang, Chengkai et al.
arXiv (All) · Papers
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information-retrieval
Modeling ultra-long user behavior sequences is crucial for industrial recommendation and online advertising, yet directly feeding thousands of historical actions into ranking models is computationally prohibitive, while truncation discards long-range signals. Existing lifelong-interest methods retri
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