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Found 2 papers, 2 papers with code
Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System
Despite their effectiveness under cold scenarios, we observe that they underperform simple traditional collaborative filtering models under warm scenarios due to the lack of collaborative knowledge.
Task Relation-aware Continual User Representation Learning
However, since learning task-specific user representations for every task is infeasible, recent studies introduce the concept of universal user representation, which is a more generalized representation of a user that is relevant to a variety of tasks.
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