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Last year has witnessed the considerable interest of Large Language Models (LLMs) for their potential applications in recommender systems, which may mitigate the persistent issue of data sparsity.
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Large language models are zero-shot rankers for recommender systems
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TEST: Text prototype aligned embedding to activate LLM’s ability for time series
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Zero-Shot Next-Item Recommendation using Large Pretrained Language Models
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Exploring large language model for graph data understanding in online job recommendations
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