A multi-task, multi-head item-to-item retrieval system that merges co-engagement candidates with semantically relevant candidates achieves both higher recall and higher semantic relevance than prior models.
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Optimizing Recall or Relevance? A Multi-Task Multi-Head Approach for Item-to-Item Retrieval in Recommendation
A multi-task, multi-head item-to-item retrieval system that merges co-engagement candidates with semantically relevant candidates achieves both higher recall and higher semantic relevance than prior models.