May 11, 2023 · We take a different approach to developing the recommendation models, considering recommendation as instruction following by LLMs.
May 11, 2023 · In this paper, we would like to advance one step further in LLM- empowered recommender systems. Specially, we take a user-centric perspective, ...
May 11, 2023 · Our approach sheds light on developing more user-friendly recommender systems, in which users can freely communicate with the system and obtain ...
This is a paper list about Large Language Model-enhanced Recommender System. It also contains some related works.
May 17, 2023 · Bibliographic details on Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach.
May 11, 2023 · Our approach shedslight on developing more user-friendly recommender systems, in which users canfreely communicate with the system and obtain ...
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Nov 26, 2023 · In this tutorial, we aim to retrospect the evolution of LLM4Rec and conduct a comprehensive review of existing research.
In-context learning. • LLMs has rich world knowledge, wonderful abilities like reasoning, instruction following, in-context learning.
Jul 11, 2024 · This tutorial aims to demystify the Large Language Model for Recommendation (LLM4Rec) by reviewing its evolution and delving into cutting-edge research.
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How can large language models be used as recommendation systems?
How do you train a model for recommendation system?
A comprehensive review of LLM-empowered recommender systems from various aspects including Pre-training, Fine-tuning, and Prompting.
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