Edge AI Boosts Mobile Search Ranking: Inside Meituan’s On‑Device Re‑ranking

This article details Meituan’s implementation of on‑device deep learning models for search re‑ranking, covering the motivations for edge intelligence, feature engineering, feedback sequence modeling, model architecture, deployment optimizations, experimental results, and future directions, offering practical insights for developers building large‑scale AI on mobile.

edge AIfeature engineeringmobile deep learning

0 likes · 28 min read

Edge AI Boosts Mobile Search Ranking: Inside Meituan’s On‑Device Re‑ranking

Youku Technology

Jun 7, 2022 · Artificial Intelligence

Mobile Real-Time Portrait Segmentation for Youku Bullet Comment Passthrough

To enable real‑time bullet‑comment passthrough on Youku’s mobile app, the team built a million‑scale portrait dataset and designed the AirSegNet series—CPU, GPU, and server variants—using VGG‑style nets, edge‑aware losses, and hybrid CPU‑GPU inference, achieving 0.98 IoU and sub‑15 ms latency on most devices.

Computer VisionEdge ComputingMNN Framework

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Mobile Real-Time Portrait Segmentation for Youku Bullet Comment Passthrough

Alibaba Cloud Developer

Nov 21, 2019 · Artificial Intelligence

How Alibaba’s ‘Guess‑Draw Treasure’ Game Powers Real‑Time Sketch AI

During the 2023 Lunar New Year, Taobao Live launched the real‑time interactive game ‘Guess‑Draw Treasure’, which lets users sketch on mobile devices and have AI instantly recognize their drawings to win cash rewards; this article reveals the underlying AI techniques, challenges, model choices, datasets, and future plans.

AI sketch recognitionAlibabaCNN

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How Alibaba’s ‘Guess‑Draw Treasure’ Game Powers Real‑Time Sketch AI

Alibaba Cloud Developer

Jun 20, 2018 · Mobile Development

How to Supercharge Mobile Deep Learning: Model Compression & Engine Optimizations

This article explains how to overcome the performance, size, memory, and compatibility challenges of deploying deep‑learning inference engines on mobile devices by jointly optimizing model compression and engine implementation, covering speed tricks, cache‑friendly coding, multithreading, sparsity, quantization, NEON intrinsics, package size reduction, memory pooling, and reliability techniques.

Memory ManagementNEON SIMDmobile deep learning

0 likes · 22 min read

How to Supercharge Mobile Deep Learning: Model Compression & Engine Optimizations