2 papers
cs.AI2026
How Often Should a Recommender Call an LLM? Value-Weighted Routing, Monitoring, and Seasonal Robustness
Bhavtosh Rath
Routing decisions between a cheap heuristic and an expensive large language model (LLM) are typically framed as a difficulty problem: send the hard cases to the expensive path. We…
cs.LG2024
GRAINRec: Graph and Attention Integrated Approach for Real-Time Session-Based Item Recommendations
Bhavtosh Rath, Pushkar Chennu, David Relyea +2
Recent advancements in session-based recommendation models using deep learning techniques have demonstrated significant performance improvements. While they can enhance model sophi…