RecAI: Leveraging Large Language Models for Next-Generation Recommender Systems
arxiv(2024)
摘要
This paper introduces RecAI, a practical toolkit designed to augment or even
revolutionize recommender systems with the advanced capabilities of Large
Language Models (LLMs). RecAI provides a suite of tools, including Recommender
AI Agent, Recommendation-oriented Language Models, Knowledge Plugin,
RecExplainer, and Evaluator, to facilitate the integration of LLMs into
recommender systems from multifaceted perspectives. The new generation of
recommender systems, empowered by LLMs, are expected to be more versatile,
explainable, conversational, and controllable, paving the way for more
intelligent and user-centric recommendation experiences. We hope the
open-source of RecAI can help accelerate evolution of new advanced recommender
systems. The source code of RecAI is available at
.
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