works on
heterogeneous recommendation 1industrial recommender systems 1mixture-of-experts 1multi-task ranking 1observability 1

From the 1 of 1 paper with an AI index.

researchers with a paper here
collaborating institutions

1 paper

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)…