online serving | BestHub

DataFunSummit

Jul 25, 2023 · Artificial Intelligence

Real‑Time Deep Learning Training with PAI‑ODL: Architecture, Pipeline, and Key Technologies

This article introduces PAI‑ODL, a real‑time deep‑learning training platform that supports online model updates for search, advertising, and recommendation scenarios, detailing its pipeline modules, system architecture, large‑scale sparse model techniques, incremental model export, embedding store design, and performance optimizations that together enable low‑latency, high‑throughput serving.

PAI ODLembedding storelarge-scale sparse models

0 likes · 19 min read

Real‑Time Deep Learning Training with PAI‑ODL: Architecture, Pipeline, and Key Technologies

IEG Growth Platform Technology Team

Feb 14, 2022 · Artificial Intelligence

Multimodal Evolution and Application in Tencent Game Advertising System

This article describes the end‑to‑end multimodal modeling pipeline—covering text, image, and video understanding, model evolution from shallow to deep networks, key‑frame extraction, fine‑tuning, and multimodal fusion—used in Tencent's game ad exchange platform, along with practical deployment challenges and solutions.

CNNText Classificationadvertising

0 likes · 22 min read

Multimodal Evolution and Application in Tencent Game Advertising System

iQIYI Technical Product Team

Nov 12, 2021 · Artificial Intelligence

iQIYI Generic Ranking Framework for Video Recommendation

iQIYI’s generic ranking framework unifies feature production, replay, training, and ranking into modular, configurable phases that handle offline and real‑time data, support diverse models, provide automated monitoring, and have been deployed across all platforms, delivering over 20% higher watch time and doubling first‑play videos.

Real-time Featuresfeature engineeringmachine learning

0 likes · 15 min read

iQIYI Generic Ranking Framework for Video Recommendation

Xueersi Online School Tech Team

Jan 15, 2021 · Artificial Intelligence

Recommendation System Architecture and Engineering Overview

This article presents a comprehensive overview of a recommendation system, covering its business background, purpose, detailed engineering architecture—including data sources, computation, storage, online learning, service and access layers—and discusses key challenges, module design, and practical reflections.

AB testingMachine LearningTensorFlow

0 likes · 14 min read

Architect

Nov 16, 2015 · Artificial Intelligence

Meituan O2O Search Ranking System: Online Architecture and Techniques

This article describes Meituan's online search ranking architecture for O2O services, covering data pipelines, feature loading, ranking service workflow, A/B testing, model choices, cold‑start handling, and position bias mitigation, all tailored for mobile‑centric personalized ranking.

A/B TestingMachine Learningfeature engineering

0 likes · 14 min read