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IRA: Adaptive Interest-aware Representation and Alignment for Personalized Multi-interest Retrieval
Online community platforms require dynamic personalized retrieval and recommendation that can continuously adapt to evolving user interests and new documents.
RRADistill: Distilling LLMs' Passage Ranking Ability for Long-Tail Queries Document Re-Ranking on a Search Engine
Large Language Models (LLMs) excel at understanding the semantic relationships between queries and documents, even with lengthy and complex long-tail queries.
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