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LIFT: A Lifecycle-aware Interaction Factorization Transformer for Unified Retrieval and Ranking
Cascaded recommender systems use the same user history for retrieval and ranking, while the two stages have access to different information at different points of an interaction. We propose the Lifecycle-aware Interaction Factorization Transformer (LIFT), which decomposes each interaction into order
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