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Recommendation Engine

8 articles · Page 1 of 1
Niu Liu
Niu Liu
Jul 13, 2026 · Artificial Intelligence

Building a Real‑Time Recommendation Engine with Flink: A Complete Example Project

The article walks through constructing a full‑stack real‑time recommendation system—from user‑behavior collection via Kafka, through Flink streaming jobs for hot‑list, user and item profiling, to storage in Redis, HBase and Elasticsearch, and finally a React/Ant Design console that visualizes the pipeline and enables debugging.

ElasticsearchFlinkHBase
0 likes · 12 min read
Building a Real‑Time Recommendation Engine with Flink: A Complete Example Project
DeWu Technology
DeWu Technology
Aug 21, 2023 · Backend Development

Design and Implementation of DGraph: A High‑Performance Recommendation Engine

DGraph, a C++ recommendation engine launched in 2022 for 得物, combines an index layer with a service layer, uses lock‑free RCU structures, a custom mmap‑based D‑Allocator, RoaringBitmap invert indexes, and a multi‑operator fusion scheduler to achieve high‑performance, eventually consistent, scalable recommendations.

C++IndexingMemory Management
0 likes · 12 min read
Design and Implementation of DGraph: A High‑Performance Recommendation Engine
DataFunSummit
DataFunSummit
Sep 12, 2021 · Artificial Intelligence

Algorithmic Practices in Haola Ride-Sharing: Platform Infrastructure, Matching Recommendation Engine, Transaction Governance, and Intelligent Marketing

This article details Haola's end‑to‑end algorithmic ecosystem for its ride‑sharing service, covering the machine‑learning platform built on Hadoop/YARN, the architecture and evolution of the matching recommendation engine, transaction‑ecosystem governance models, and intelligent marketing strategies including uplift modeling and optimization.

AIRecommendation EngineRide-sharing
0 likes · 19 min read
Algorithmic Practices in Haola Ride-Sharing: Platform Infrastructure, Matching Recommendation Engine, Transaction Governance, and Intelligent Marketing
IT Architects Alliance
IT Architects Alliance
Jun 8, 2021 · Industry Insights

Inside Toutiao’s 11B Daily‑Active‑User Architecture: Data, Recommendations & Scaling

This article dissects Toutiao’s rapid growth from a small startup to a platform with over 5 billion registered users, detailing its data collection pipeline, user‑modeling techniques, recommendation engine, micro‑service architecture, PaaS infrastructure, storage strategies, and push‑notification system.

Data PipelineRecommendation EngineToutiao
0 likes · 9 min read
Inside Toutiao’s 11B Daily‑Active‑User Architecture: Data, Recommendations & Scaling
Mafengwo Technology
Mafengwo Technology
Aug 5, 2020 · Backend Development

Boost Recommendation Engine Performance with Off‑Heap Cache (OHC) in Java

This article explains the principles and practical implementation of the Java off‑heap cache framework OHC, detailing its architecture, memory allocation, serialization, configuration, and real‑world performance results within the MaFengWo recommendation engine, illustrating how it reduces latency and improves cache hit rates.

Recommendation Enginebackend cachingjava
0 likes · 18 min read
Boost Recommendation Engine Performance with Off‑Heap Cache (OHC) in Java
JD Retail Technology
JD Retail Technology
Dec 27, 2019 · Artificial Intelligence

JD Health 'Medicine Urgent Delivery' Project: LBS‑Based Store Recommendation and Full‑Channel Transaction Architecture

The JD Health Medicine Urgent Delivery service leverages LBS‑driven store recommendation, full‑channel transaction integration, and AI‑powered recommendation models to deliver medicines within half an hour across more than 100 cities, showcasing cross‑team technical collaboration and operational innovations.

AIFull-ChannelJD Health
0 likes · 9 min read
JD Health 'Medicine Urgent Delivery' Project: LBS‑Based Store Recommendation and Full‑Channel Transaction Architecture
21CTO
21CTO
Oct 21, 2016 · Artificial Intelligence

How Toutiao Dominated Chinese News with AI‑Powered Personalization

This article examines Toutiao’s evolution from a simple news aggregator to a 600‑billion‑RMB valued AI‑driven recommendation platform, detailing its market growth, data‑driven personalization, product features, business model, talent philosophy, and future outlook.

AIBig DataRecommendation Engine
0 likes · 10 min read
How Toutiao Dominated Chinese News with AI‑Powered Personalization