LLM-KT: A Flexible Framework for Enhancing Collaborative Filtering Models with Embedded LLM-Generated Features

Collaborative Filtering (CF) is widely used in recommender systems to match user preferences with items but often struggles with complex relationships and adapting to evolving user interactions. Recently, researchers have explored using LLMs to enhance recommendations by leveraging their reasoning abilities. LLMs have been integrated into various stages, from knowledge generation to candidate ranking. While […]

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