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Found 4 papers, 1 papers with code
SPM: Structured Pretraining and Matching Architectures for Relevance Modeling in Meituan Search
At pretraining stage, we propose an effective pretraining method that employs both query and multiple fields of document as inputs, including an effective information compression method for lengthy fields.
Contrastive Information Transfer for Pre-Ranking Systems
In this paper, we focus on the information transfer from ranking to pre-ranking stage.
Sampling Is All You Need on Modeling Long-Term User Behaviors for CTR Prediction
However, the retrieval-based methods are sub-optimal and would cause more or less information losses, and it's difficult to balance the effectiveness and efficiency of the retrieval algorithm.
AutoFAS: Automatic Feature and Architecture Selection for Pre-Ranking System
Industrial search and recommendation systems mostly follow the classic multi-stage information retrieval paradigm: matching, pre-ranking, ranking, and re-ranking stages.
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