Boost Short-Video Recommendations: Multi-Goal Optimization with Weighted Logistic Regression

Alibaba's short‑video recommendation team details how they enhance both click‑through rate and viewing duration by applying sample reweighting, weighted logistic regression, and playback‑completion‑rate normalization, achieving over 6% offline AUC gains and more than 10% increase in average user watch time.

click-through ratemachine learningmulti-objective optimization

0 likes · 10 min read

Boost Short-Video Recommendations: Multi-Goal Optimization with Weighted Logistic Regression

Alibaba Cloud Developer

Aug 22, 2018 · Artificial Intelligence

Boosting Short Video Recommendations with Multi‑Objective Weighted Logistic Regression

This article explains how short‑video platforms enhance recommendation quality by combining click‑through‑rate models with multi‑objective optimization of watch time and completion rate, using sample reweighting and weighted logistic regression to balance perceived and real relevance while improving offline AUC and online user engagement.

CTRmulti-objective optimizationrecommendation

0 likes · 10 min read

Boosting Short Video Recommendations with Multi‑Objective Weighted Logistic Regression