archersama/awesome-recommend-system-pretraining-papers
Paper List for Recommend-system PreTrained Models
This is a curated collection of academic papers focused on pre-trained models for recommendation systems, including the application of large language models. It helps researchers and practitioners understand the latest advancements, allowing them to find relevant studies, datasets, and code to build more effective recommendation engines. The resource provides a comprehensive overview of different pre-training approaches.
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Use this if you are a researcher or data scientist exploring state-of-the-art techniques for building and improving recommendation systems, especially those leveraging pre-trained models or large language models.
Not ideal if you are looking for ready-to-use recommendation system software or tutorials on implementing basic recommender algorithms.
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Mar 27, 2024
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