heterogeneous recommendation 1industrial recommender systems 1mixture-of-experts 1multi-task ranking 1observability 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.IR2026
Heterogeneous Ranking in Industrial-Scale Recommender Systems: A Case Study
Di Bai, Jintao Liu, Zhenwei Tang +3
The paper describes an industrial case study of ranking heterogeneous content feeds in Google Discover using a heterogeneity-adaptive multi-gated mixture-of-experts model (HA-MoE)…
cs.IR2026
AgenticRecTune: Multi-Agent with Self-Evolving Skillhub for Recommendation System Optimization
Xidong Wu, Yue Zhuan, Ruoqiao Wei +7
Modern large-scale recommendation systems are typically constructed as multi-stage pipelines, encompassing pre-ranking, ranking, and re-ranking phases. While traditional recommenda…