Essential AI Research Highlights to Jump‑Start Your Post‑Holiday Learning
After the Chinese New Year break, this curated collection of key AI articles—spanning computer vision, speech recognition, natural language processing, recommendation systems, and more—helps technical readers quickly regain momentum in work and study by revisiting core technologies with real‑world case studies.
After the Chinese New Year holiday, here's a curated collection of essential articles covering core technologies in artificial intelligence, including computer vision, speech recognition, natural language processing, recommendation, and more, to help you quickly regain work and study momentum.
Computer Vision
Ant Real-Time Video Call Technology and Practice
Online Behavior Prediction Based on Temporal Scale Selection
Intrinsic Image Decomposition via Scale‑Space Transform
How to Handle Multiple Degradation Types in Convolutional Super‑Resolution?
Image Generation Algorithm Based on Stylized Adversarial Autoencoder
Multi‑Layer Similarity‑Aware CNN for Person Re‑Identification
How to Detect Video Anomalies? New Detection Model by Alibaba Engineers
Contextual Contrast Features and Gated Multi‑Scale Fusion for Scene Segmentation
Speech Recognition
After Demonstrating 200 Sentences, a Voice “Twin” Is Born!
A‑LSTM for More Accurate Emotion Recognition
New Model for Machines to Understand Long Speech
Framework for Voice Emotion Recognition
Deep Feedforward Sequence Memory Network Boosts Speech Synthesis Speed Fourfold
Text Processing
Syntactically Sensitive Entity Representations for Neural Relation Extraction
Can Crowdsourced Annotations Outperform Expert Labels in NER?
Solving Long Product Title Issues by Alibaba Engineers
How to Generate Personalized Recommendation Copy? AI Copywriting on 1688 Platform
Intelligent Search & Recommendation
How to Bundle Products for Double 11?
Building Virtual Categories Based on Category Relationships
How to Solve “Fake Exposure” in Mobile E‑commerce Platforms?
How Engineers Handle Order‑Combining Techniques?
Visualizing Deep Neural Network CTR Prediction Models
Audience Selection Algorithm for Brand Potential Customers
JUMP: A Joint Estimator for Clicks and Dwell Time
Finding New Owners for Long‑Tail and New Products Among Billions of Items
Knowledge Graph for E‑commerce: Sensing User Needs
Real‑Time Recommendation Algorithm with Hundreds of Billions of Features
End‑to‑End Model for Dynamic Ranking Based on Heterogeneous Content Streams
Rocket Launch: How the “Divine Calculator” of Click‑Through Rate Estimation Is Made
Why Short Videos Keep You Watching? The Underlying Technology
How Machines Guess What You Want? Alibaba XiaoMi Prediction Platform
Reinforcement Learning for Intelligent Interactive Search
Improved Attention Recurrent Control Gate for Personalized Brand Ranking
Fast GeoHash for Efficient Matching of Massive Products and Business Districts
Breaking Traditional Search Ranking: Global Ranking Based on Inter‑Product Influence
Comprehensive
How to Use Unsupervised Models to Prevent Credit Card Fraud?
Alipay: It's Time to Meet New Friends!
How Machines Predict What You Think? Alibaba XiaoMi Platform Reveal
How to Evaluate Deep Learning Model Performance? Alibaba Engineers' Approach
How to Reduce Miss Diagnosis Rate in Disease Monitoring? A New Classification Learning Algorithm
Improving Deep Learning Model Interpretability: Data Exposure and Multi‑Dimensional Visualization
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