Can KGs improve LLM agent recommendations?
Knowledge Graph Enhanced Language Agents for Recommendation
October 28, 2024
https://arxiv.org/pdf/2410.19627-
This research proposes KGLA, a framework that integrates Knowledge Graphs (KG) with Language Model Agents (LLMs) for improved recommendation systems.
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KGLA addresses the issue of generic user profiles in LLM-based recommendations by extracting rationales from KGs to enrich user agent memory and interactions.
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KGLA utilizes KG paths between users and items to capture preferences and provide richer explanations for recommendations.