Kannan Sanjay

Agentic AI for Recommender Systems: A Multi-Agent Framework for Grounded, Explainable, and Constraint-Aware Movie Recommendation

Large language models (LLMs) are increasingly used as reasoning engines within multi-step, tool-using agent pipelines, yet their value for core recommendation tasks relative to classical collaborative filtering (CF) remains poorly characterized. We present an agentic recommender system for the MovieLens-100K dataset th...