2 papers
cs.LG2026
AutoResearch at Production Scale: Failure Modes and a Multi-Agent Framework
Aparajith Chandran, Juwon Kim, Saurav Jha +2
Optimizing embedding systems for production recommendation pipelines demands systematic exploration that consumes disproportionate engineering effort at scale. We apply Andrej Karp…
cs.IR2025
Toward Holistic Evaluation of Recommender Systems Powered by Generative Models
Yashar Deldjoo, Nikhil Mehta, Maheswaran Sathiamoorthy +3
Recommender systems powered by generative models (Gen-RecSys) extend beyond classical item ranking by producing open-ended content, which simultaneously unlocks richer user experie…