Cross‑Domain Multi‑Objective Modeling and Long‑Term Value Exploration in NetEase Yanxuan Recommendation System

This article presents the practical evolution of NetEase Yanxuan's recommendation pipeline, covering background, multi‑objective and cross‑domain modeling, bias correction, loss function enhancements, long‑term value strategies, and multi‑scene modeling, with experimental results and a Q&A session.

AIBias CorrectionMMoE

0 likes · 20 min read

Cross‑Domain Multi‑Objective Modeling and Long‑Term Value Exploration in NetEase Yanxuan Recommendation System

21CTO

Sep 7, 2021 · Artificial Intelligence

Designing Effective Short‑Video Recommendation Systems: Goals, Multi‑Objective Modeling, and Long‑Term Value

This article examines the rapid growth of short‑video platforms, outlines the core problems a recommendation system must solve for users, creators, and advertisers, describes the end‑to‑end pipeline, explores multi‑objective modeling and fusion techniques, and discusses long‑term value estimation for sustained user engagement.

AIlong-term valuemulti-objective ranking

0 likes · 8 min read

Designing Effective Short‑Video Recommendation Systems: Goals, Multi‑Objective Modeling, and Long‑Term Value

Baidu Geek Talk

Sep 6, 2021 · Artificial Intelligence

Short Video Recommendation System Design: Baidu Haokan Video Practice

The article outlines Baidu Haokan’s short‑video recommendation architecture, describing how a unified ranking pipeline uses user‑interest signals, multi‑objective MMOE and deep‑fusion models, and long‑term value estimation to balance personalized user experience, creator exposure, and advertiser goals across billions of daily video plays.

BaiduMMoElong-term value

0 likes · 8 min read

Short Video Recommendation System Design: Baidu Haokan Video Practice

DataFunTalk

Aug 15, 2020 · Artificial Intelligence

Dynamic Knapsack Optimization for Multi‑Channel Sequential Advertising Using Long‑Term Value

The article presents a novel multi‑channel sequential advertising framework that models budget‑constrained GMV optimization as a dynamic knapsack problem, introduces a long‑term value‑based RL solution (MSBCB), and validates its superiority through extensive offline and online experiments showing up to 10% ROI improvement.

Advertisingbudget optimizationdynamic knapsack

0 likes · 16 min read

Dynamic Knapsack Optimization for Multi‑Channel Sequential Advertising Using Long‑Term Value