Tagged articles

listwise optimization

2 articles · Page 1 of 1

Sep 14, 2026 · Backend Development

Recommender System Re-ranking: List-Level Optimization Under Multiple Constraints

This article systematically dissects the re-ranking stage in recommender systems, explaining how hard constraints (filtering, quotas, safety) and soft optimizations (diversity, blending) are orchestrated in a prioritized pipeline to transform ranked candidates into a final display list that balances user experience, platform health, and operational needs.

MMRdiversityhard constraints

0 likes · 40 min read

Recommender System Re-ranking: List-Level Optimization Under Multiple Constraints

Meituan Technology Team

Jan 17, 2019 · Artificial Intelligence

Evolution of Meituan-Dianping Search Core Ranking: From Traditional Models to LambdaDNN Listwise Deep Learning

The Meituan‑Dianping search team progressed its core ranking from linear, FM and GBDT models to a knowledge‑graph‑enhanced deep‑learning architecture, culminating in the listwise LambdaDNN network that directly optimizes NDCG, supported by extensive feature engineering, distributed TensorFlow training, and the Athena diagnostic system.

LambdaDNNdeep learningfeature engineering

0 likes · 29 min read