online prediction

HelloTech

Apr 12, 2023 · Artificial Intelligence

Integrating Machine Learning Ranking into Elasticsearch: Architecture, Components, and Performance

The team embedded a full machine‑learning ranking pipeline as an Elasticsearch plug‑in—combining real‑time and offline feature stores, hot‑loadable model jars via Dragonfly, an MLeap execution engine, and a DSL for feature definition—replacing the coarse‑ranking logistic‑regression with a tree model that adds ~10 ms latency but yields a 1.2 % AB‑test lift, while maintaining high throughput, low CPU usage, and supporting future batch deep‑learning rescoring.

Feature EngineeringModel Deploymentelasticsearch

0 likes · 16 min read

Integrating Machine Learning Ranking into Elasticsearch: Architecture, Components, and Performance

DataFunTalk

Jan 3, 2021 · Artificial Intelligence

iQIYI Machine Learning Platform: Development History, Features, and Practical Experience

This article details the evolution of iQIYI's machine learning platform—from its early Javis‑based deep‑learning system to three major versions that introduced visual workflow, distributed scheduling, auto‑tuning, large‑scale training support, model management, and online prediction—while sharing practical lessons and a real anti‑cheat use case.

Big DataModel Managementhyperparameter tuning

0 likes · 13 min read

iQIYI Machine Learning Platform: Development History, Features, and Practical Experience

iQIYI Technical Product Team

Nov 27, 2020 · Artificial Intelligence

Evolution and Experience of iQIYI's Machine Learning Platform

iQIYI’s Machine Learning Platform evolved from the specialized Javis deep‑learning system into a unified, low‑threshold solution for algorithm engineers, analysts, and developers, adding visual pipeline building, multi‑framework scheduling, automatic hyper‑parameter tuning, parameter‑server training, and scalable online prediction, dramatically boosting business efficiency and detection performance.

AIBig Dataauto-tuning

0 likes · 13 min read

Evolution and Experience of iQIYI's Machine Learning Platform

58 Tech

Nov 21, 2018 · Artificial Intelligence

Design and Implementation of the 58 Deep Learning Online Prediction Service

This article describes the architecture, components, and deployment strategies of the 58 deep learning online prediction service, covering TensorFlow‑Serving, custom model serving, traffic forwarding, load balancing, GPU configuration, resource monitoring, and the supporting web management platform.

GPUKubernetesLoad Balancing

0 likes · 15 min read

Design and Implementation of the 58 Deep Learning Online Prediction Service

58 Tech

Oct 31, 2018 · Artificial Intelligence

Overview of the WPAI AI Platform Architecture and Implementation

The article presents a comprehensive overview of the WPAI (Wuba Platform of AI) architecture, detailing its machine‑learning and deep‑learning components, feature‑engineering framework, distributed training pipelines, online prediction services, and deployment on Kubernetes‑managed GPU/CPU resources to accelerate AI applications across 58.com business lines.

AI PlatformFeature EngineeringKubernetes

0 likes · 15 min read

Overview of the WPAI AI Platform Architecture and Implementation

Architecture Digest

Oct 17, 2017 · Artificial Intelligence

Design and Architecture of the Weibo Deep Learning Platform

This article presents the design, architecture, and operational experience of Weibo's deep learning platform, covering its machine‑learning workflow, control center, distributed training cluster, and online prediction service, and explains how the platform accelerates development and improves business outcomes.

AIdeep learningdistributed training

0 likes · 17 min read

Design and Architecture of the Weibo Deep Learning Platform