Efficient and deployable knowledge infusion for open-world recommendations via large language models

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Large language model enhanced recommender systems: Taxonomy, trend, application and future

Q Liu, X Zhao, Y Wang, Y Wang, Z Zhang… - arxiv preprint arxiv …, 2024 - arxiv.org
Large Language Model (LLM) has transformative potential in various domains, including
recommender systems (RS). There have been a handful of research that focuses on …
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Play to Your Strengths: Collaborative Intelligence of Conventional Recommender Models and Large Language Models

Y **, W Liu, J Lin, C Wu, B Chen, R Tang… - China Conference on …, 2024 - Springer
The rise of large language models (LLMs) has opened new opportunities in Recommender
Systems (RSs) by enhancing user behavior modeling and content understanding. However …
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Beyond Positive History: Re-ranking with List-level Hybrid Feedback

M Weng, Y **, W Liu, B Chen, J Lin, R Tang… - arxiv preprint arxiv …, 2024 - arxiv.org
As the last stage of recommender systems, re-ranking generates a re-ordered list that aligns
with the user's preference. However, previous works generally focus on item-level positive …
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