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DataFunSummit
DataFunSummit
Sep 5, 2022 · Artificial Intelligence

Comprehensive Evaluation of Long‑Audio Speech‑to‑Text Services from Major Cloud Providers

This article presents a systematic, multi‑dimensional benchmark of six leading cloud speech‑recognition platforms—Alibaba Cloud, Tencent Cloud, iFlytek, Baidu Cloud, Huawei Cloud, and Microsoft Azure—using a 22.6‑hour, 81‑file Mandarin dataset, scoring with the CORR metric and SCTK tool, and discusses each provider's workflow, strengths, pitfalls, and cost.

AICloud ServicesSCTK
0 likes · 15 min read
Comprehensive Evaluation of Long‑Audio Speech‑to‑Text Services from Major Cloud Providers
Python Programming Learning Circle
Python Programming Learning Circle
Sep 5, 2022 · Artificial Intelligence

Ten Essential Python Libraries for AI, Data Processing, and Model Deployment

This article introduces ten powerful Python libraries—including Awkward Array, Jupytext, Gradio, Hub, AugLy, Evidently, YOLOX, LightSeq, Greykite, and Jina/Finetuner—highlighting their key features, performance benefits, and where to find them, offering developers essential tools for data handling, model deployment, and AI research.

AIData SciencePython
0 likes · 8 min read
Ten Essential Python Libraries for AI, Data Processing, and Model Deployment
DaTaobao Tech
DaTaobao Tech
Sep 5, 2022 · Artificial Intelligence

How Alibaba’s New Guide Boosts Live‑Stream Video Quality for Every Creator

Alibaba’s DaTaobao team unveiled a high‑definition live‑streaming guide that combines video processing algorithms, equipment recommendations, and standardized low‑cost solutions to dramatically improve picture quality for both top‑tier and novice streamers, while also offering free access and ongoing support.

AIAlibabaalgorithm
0 likes · 8 min read
How Alibaba’s New Guide Boosts Live‑Stream Video Quality for Every Creator
AntTech
AntTech
Sep 3, 2022 · Artificial Intelligence

Highlights from the 2022 World AI Conference: Graph Computing, Privacy Computing, AI Safety, and New Open Platforms

The 2022 World AI Conference in Shanghai showcased cutting‑edge research on graph computing and privacy computing, announced Ant Group’s new AI safety product “AntJian”, the “YinYu Open Platform” for trusted privacy computing, and the open‑source high‑performance graph database TuGraph, highlighting the push for secure, scalable AI technologies.

AIAI SafetyAnt Group
0 likes · 7 min read
Highlights from the 2022 World AI Conference: Graph Computing, Privacy Computing, AI Safety, and New Open Platforms
AntTech
AntTech
Sep 3, 2022 · Information Security

Trusted Privacy Computing Summit at the 2022 World AI Conference Highlights Security Challenges and Future Directions

The Trusted Privacy Computing Summit at the 2022 World AI Conference gathered leading scholars and industry experts to discuss cryptographic techniques, data security, and the practical rollout of privacy‑computing technologies across finance, healthcare, and cross‑border data services, emphasizing responsible digital economy development.

AIPrivacy Computingcryptography
0 likes · 8 min read
Trusted Privacy Computing Summit at the 2022 World AI Conference Highlights Security Challenges and Future Directions
DataFunTalk
DataFunTalk
Sep 3, 2022 · Databases

OpenMLDB: An Open‑Source Machine Learning Database for Consistent Online and Offline Feature Serving

This article presents OpenMLDB, an open‑source machine learning database that unifies offline and online feature computation with millisecond‑level latency, outlines its development history, architecture, recent 0.6.0 enhancements, ecosystem integrations, and multiple real‑world deployment case studies across finance, banking, research, and marketing domains.

AIFeature StoreOpenMLDB
0 likes · 16 min read
OpenMLDB: An Open‑Source Machine Learning Database for Consistent Online and Offline Feature Serving
AntTech
AntTech
Sep 2, 2022 · Databases

Highlights of the 2022 World AI Conference Graph Intelligence Forum in Shanghai

The September 1, 2022 Graph Intelligence Forum at the World AI Conference in Shanghai gathered leading researchers and industry experts to discuss advances in graph computing, learning, and databases, announced the open‑source TuGraph as the world’s fastest graph database, and emphasized standards, temporal graphs, and industry‑academia collaboration.

AILDBCTuGraph
0 likes · 7 min read
Highlights of the 2022 World AI Conference Graph Intelligence Forum in Shanghai
Baidu Geek Talk
Baidu Geek Talk
Aug 31, 2022 · Artificial Intelligence

Baidu Intelligent Cloud Launches Cloud-native AI 2.0 to Accelerate AI Engineering

Baidu Intelligent Cloud’s new Cloud‑native AI 2.0 platform tackles AI engineering bottlenecks by offering hybrid‑parallel large‑model training, flexible GPU virtualization, and an AI Accelerate Kit that boosts training efficiency over 50 % and cuts inference latency up to 63 %, raising GPU utilization from ~13 % to about 50 %.

AIAI accelerationGPU virtualization
0 likes · 15 min read
Baidu Intelligent Cloud Launches Cloud-native AI 2.0 to Accelerate AI Engineering
DataFunTalk
DataFunTalk
Aug 30, 2022 · Artificial Intelligence

Feature Engineering for Recommendation and Search Advertising

This article explains why meticulous feature engineering remains crucial in recommendation and search advertising, outlines what constitutes good features, describes common transformation techniques such as scaling, binning, and encoding, and provides practical examples and Q&A for practitioners.

AIdata preprocessingfeature engineering
0 likes · 18 min read
Feature Engineering for Recommendation and Search Advertising
Cloud Native Technology Community
Cloud Native Technology Community
Aug 29, 2022 · Cloud Native

Cloud‑Native and Edge Computing: How Containers Empower Edge Applications

The article explains how the deep integration of cloud‑native technologies and edge computing, driven by digital transformation, improves resource utilization, unifies infrastructure management, reduces AI workload costs, simplifies device access, accelerates deployment, and enhances autonomy and ROI for enterprises.

AIContainersEdge Computing
0 likes · 10 min read
Cloud‑Native and Edge Computing: How Containers Empower Edge Applications
DataFunTalk
DataFunTalk
Aug 28, 2022 · Artificial Intelligence

Federated Learning in Advertising: Business Background, Conversion Flow, Algorithm Techniques, Vertical & Horizontal FL, and Security

This presentation by Huawei federated‑learning expert Liu Lu explains how federated learning can be applied to the advertising ecosystem, covering business background, multi‑perspective conversion processes, core ad‑ranking algorithms, vertical and horizontal federated learning architectures, and the associated attack‑defense techniques.

AIAdTechHorizontal FL
0 likes · 23 min read
Federated Learning in Advertising: Business Background, Conversion Flow, Algorithm Techniques, Vertical & Horizontal FL, and Security
Model Perspective
Model Perspective
Aug 27, 2022 · Artificial Intelligence

How AI Can Summarize Research Papers Instantly with paper-digest

This article introduces paper-digest, an AI‑driven assistant that parses full research papers to generate concise, clear summaries, helping students read more efficiently, researchers share findings faster, and science communicators produce effective overviews.

AIResearch Toolsacademic productivity
0 likes · 3 min read
How AI Can Summarize Research Papers Instantly with paper-digest
Huawei Cloud Developer Alliance
Huawei Cloud Developer Alliance
Aug 25, 2022 · Artificial Intelligence

How the “Yujian Cup” AI Competition is Shaping the Future of Medical Testing in China

The inaugural "Yujian Cup" Medical Testing AI Developer Competition, co‑hosted by Jinyu Medical and Huawei Cloud, gathered 405 international teams, showcased cutting‑edge AI algorithms on real pathology data, awarded a 100,000 CNY prize to the winning team, and outlined plans for future annual events to accelerate AI‑driven healthcare innovation.

AIData ScienceHealthcare Innovation
0 likes · 8 min read
How the “Yujian Cup” AI Competition is Shaping the Future of Medical Testing in China
DataFunTalk
DataFunTalk
Aug 25, 2022 · Big Data

Applying OpenMLDB for Efficient AI Toolchain and Data‑Driven Architecture at Akulaku

This article presents Akulaku’s practical experience with OpenMLDB, describing the company’s data‑driven requirements, the design of a unified stream‑batch architecture, implementation details across offline, online and RocksDB modes, and future recommendations for high‑performance, scenario‑agnostic big‑data processing.

AIBatch ProcessingOpenMLDB
0 likes · 17 min read
Applying OpenMLDB for Efficient AI Toolchain and Data‑Driven Architecture at Akulaku
Alimama Tech
Alimama Tech
Aug 24, 2022 · Artificial Intelligence

Distributed High‑Performance Vector Retrieval with gpdb‑faiss‑vector Plugin on Dolphin Engine

The gpdb‑faiss‑vector plugin embeds Facebook’s Faiss library into the Dolphin (Greenplum‑compatible) engine, exposing SQL functions for distributed, high‑performance approximate nearest‑neighbor vector retrieval with caching, parallel search, configurable indexes, and sub‑millisecond latency, enabling scalable recommendation and advertising workloads.

AIFAISSVector Search
0 likes · 15 min read
Distributed High‑Performance Vector Retrieval with gpdb‑faiss‑vector Plugin on Dolphin Engine
OPPO Amber Lab
OPPO Amber Lab
Aug 24, 2022 · Information Security

Top Security Experts Reveal Cutting‑Edge Solutions for System, AI & Privacy

The 2022 CCF enterprise security seminar in Shenzhen gathered leading researchers and industry specialists to discuss challenges such as ASLR on IoT, millimeter‑wave voice attacks, data‑fusion privacy, mobile fraud, deep‑fake risks, while OPPO showcased ColorOS security innovations and multiple international certifications.

AIInformation SecurityIoT
0 likes · 6 min read
Top Security Experts Reveal Cutting‑Edge Solutions for System, AI & Privacy
网易UEDC
网易UEDC
Aug 23, 2022 · Game Development

How Naraka: Bladepoint Built a Beloved Face‑Customization System

At GDC 2022, the creators of Naraka: Bladepoint detailed how they designed a popular face‑customization system, covering why a battle‑royale game needs it, user research insights, key facial features, AI‑driven tools, cultural aesthetic considerations, sustainability, and its impact on player engagement and the industry.

AIGame DevelopmentNaraka Bladepoint
0 likes · 11 min read
How Naraka: Bladepoint Built a Beloved Face‑Customization System
DevOps
DevOps
Aug 23, 2022 · Artificial Intelligence

Intelligent Automation Testing: Self‑Healing and Machine‑Learning Techniques

This article reviews the evolution of automated testing toward intelligent solutions, explaining self‑healing mechanisms, machine‑learning‑driven object recognition, computer‑vision and OCR approaches, industry tools such as Healenium and Airtest, and future prospects for zero‑code AI‑powered test automation.

AIComputer VisionOCR
0 likes · 13 min read
Intelligent Automation Testing: Self‑Healing and Machine‑Learning Techniques
AntTech
AntTech
Aug 22, 2022 · Information Security

Intelligent Risk Control Enters the 10‑Millisecond Era

In a 2022 IDC China Digital Finance Forum speech, Ant Group's security chief outlines the shift from explicit to implicit online risks, identifies three major challenges for risk control, and presents Ant's AI‑driven IMAGE framework that achieves sub‑10 ms detection across privacy‑preserving, multi‑party, and graph‑based technologies.

AIReal-Timefraud detection
0 likes · 9 min read
Intelligent Risk Control Enters the 10‑Millisecond Era
ITPUB
ITPUB
Aug 20, 2022 · Databases

Unlocking Knowledge Graphs: From Basics to Real‑World Applications

This article introduces the fundamentals of knowledge graphs, explores their research dimensions—including knowledge engineering, NLP, databases, and machine learning—examines graph database storage models, discusses their relevance to AI and big data, and showcases the authors' own graph‑based projects and case studies.

AIGraph DatabaseRDF
0 likes · 14 min read
Unlocking Knowledge Graphs: From Basics to Real‑World Applications
DataFunTalk
DataFunTalk
Aug 20, 2022 · Artificial Intelligence

Atlas Supercomputing Platform: Architecture, Alluxio‑Fluid Integration, and Performance Improvements for AI Workloads

The article presents CloudKnow's Atlas supercomputing platform, detailing its AI‑focused architecture, early storage and bandwidth challenges, the integration of Alluxio and Fluid for distributed caching, various business adaptations, and experimental results showing significant performance gains across speech denoising, image classification, large‑file processing, and speech recognition workloads.

AIAlluxioFluid
0 likes · 16 min read
Atlas Supercomputing Platform: Architecture, Alluxio‑Fluid Integration, and Performance Improvements for AI Workloads
AntTech
AntTech
Aug 19, 2022 · Artificial Intelligence

Ant Group Wins IDC China Digital Finance Innovation Awards for AI‑Powered Anti‑Fraud System and Secure Medical Claim Solutions

At the 2022 IDC China Digital Finance Forum, Ant Group was honored with two awards for its AI‑driven Alipay Intelligent Anti‑Fraud System and the privacy‑computing‑based Good Health Insurance Fast‑Claim project, showcasing cutting‑edge security and data‑privacy technologies that are reshaping risk control and medical claim processing in the financial sector.

AIMedical Claims
0 likes · 6 min read
Ant Group Wins IDC China Digital Finance Innovation Awards for AI‑Powered Anti‑Fraud System and Secure Medical Claim Solutions
DaTaobao Tech
DaTaobao Tech
Aug 17, 2022 · Cloud Computing

Alibaba Open Source Week 2022: Complete Schedule and Technical Forums

Alibaba Open Source Week 2022, held online from August 22‑24, offers a main forum and five specialized forums—Operating Systems, Databases, Cloud Native, Big Data & AI, and Terminal—featuring over 30 technical presentations by more than 40 global experts on open‑source ecosystem development, emerging technologies, and real‑world applications.

AIAlibabaOperating Systems
0 likes · 5 min read
Alibaba Open Source Week 2022: Complete Schedule and Technical Forums
DataFunTalk
DataFunTalk
Aug 17, 2022 · Cloud Computing

High‑Performance Computing Storage Challenges and Baidu Canghai Storage Solutions

This article explains the storage problems faced by traditional HPC, AI‑driven HPC and high‑performance data analysis, describes Baidu's internal high‑performance storage practices, and introduces the Baidu Canghai solution—including object storage BOS, parallel file system PFS, RapidFS, data‑flow mechanisms and a customer case—demonstrating how these technologies meet the demanding throughput, latency and cost requirements of modern high‑performance workloads.

AIBaiduHigh‑performance computing
0 likes · 29 min read
High‑Performance Computing Storage Challenges and Baidu Canghai Storage Solutions
Zhuanzhuan Tech
Zhuanzhuan Tech
Aug 17, 2022 · Artificial Intelligence

Designing a Scalable Image Classification System for Prohibited Item Detection in a Second‑hand E‑commerce Platform

This article describes how a second‑hand e‑commerce company built a fast, modular image‑classification pipeline using small binary classifiers, efficientNet‑b0, and active‑learning‑driven data annotation to detect prohibited items while keeping inference latency under 200 ms and reducing labeling costs dramatically.

AIImage ClassificationModel architecture
0 likes · 10 min read
Designing a Scalable Image Classification System for Prohibited Item Detection in a Second‑hand E‑commerce Platform
Baidu Intelligent Cloud Tech Hub
Baidu Intelligent Cloud Tech Hub
Aug 15, 2022 · Cloud Computing

How Baidu’s Canghai Storage Tackles Massive Data Challenges in the Cloud

This article outlines the four major storage challenges of the ABC era—massive scale, cost efficiency, stability, and diversity—and explains how Baidu’s Canghai storage suite, including BOS, CDS, CFS, PFS, RapidFS, CloudFlow, and storage gateways, addresses each through multi‑cloud migration, tiered lifecycle management, and robust disaster‑recovery solutions.

AIBig DataData Migration
0 likes · 15 min read
How Baidu’s Canghai Storage Tackles Massive Data Challenges in the Cloud
AsiaInfo Technology: New Tech Exploration
AsiaInfo Technology: New Tech Exploration
Aug 15, 2022 · Artificial Intelligence

Federated Learning Elevates Mobile Network Intelligence: Architecture & Demo

This article reviews the evolution of federated learning, outlines its algorithms and standards, proposes centralized and decentralized network‑intelligence architectures for mobile communications, and presents a customer‑experience‑management case study that demonstrates how federated learning improves model accuracy and privacy across multiple regional nodes.

AIMobile NetworksNetwork Intelligence
0 likes · 22 min read
Federated Learning Elevates Mobile Network Intelligence: Architecture & Demo
IT Services Circle
IT Services Circle
Aug 12, 2022 · Artificial Intelligence

Xiaomi Unveils Full‑Size Humanoid Robot CyberOne: Technical Overview and Industry Context

Xiaomi introduced the full‑size humanoid robot CyberOne, detailing its human‑service design, lightweight actuators, advanced perception sensors, AI‑driven interaction capabilities, and the broader challenges and strategic motivations behind developing such sophisticated robots in the current tech ecosystem.

AICyberOneRobotics
0 likes · 12 min read
Xiaomi Unveils Full‑Size Humanoid Robot CyberOne: Technical Overview and Industry Context
HomeTech
HomeTech
Aug 12, 2022 · Artificial Intelligence

Construction and Application of an Automotive Knowledge Graph for Recommendation Systems

This article presents a comprehensive overview of building an automotive domain knowledge graph—from ontology design, data acquisition, and graph schema construction using JanusGraph, to its practical use in cold‑start, explanation, and ranking stages of recommendation systems—highlighting challenges, solutions, and performance benefits.

AIGraph DatabaseJanusGraph
0 likes · 24 min read
Construction and Application of an Automotive Knowledge Graph for Recommendation Systems
Alimama Tech
Alimama Tech
Aug 10, 2022 · Artificial Intelligence

Overview of Alibaba Mama’s Recent Papers on Online Advertising and Recommendation Systems

Alibaba Mama’s technical team presented ten CIKM‑2022 papers that introduce novel advertising and recommendation methods—including adaptive domain networks, neural‑metric ANN search, control‑based livestream bidding, graph‑based relevance learning, hierarchical ad exposure, knowledge‑extraction pretraining, traffic forecasting, overfitting analysis, adaptive sparsity, and visual debiasing—each deployed to boost revenue and performance on Alibaba’s platforms.

AIlarge-scale systemsrecommendation
0 likes · 15 min read
Overview of Alibaba Mama’s Recent Papers on Online Advertising and Recommendation Systems
21CTO
21CTO
Aug 8, 2022 · Artificial Intelligence

Inside Siri: Luc Julia’s Journey from HCI to AI’s Future

Luc Julia, co‑founder of Siri and Samsung’s chief technology officer, shares how his early fascination with personal computers and human‑computer interaction led to pioneering voice assistants, the challenges of building Siri’s massive backend, the push for agile methods at HP, and his vision for AI’s ecological impact and future across industries.

AIHCISiri
0 likes · 10 min read
Inside Siri: Luc Julia’s Journey from HCI to AI’s Future
DataFunTalk
DataFunTalk
Aug 8, 2022 · Artificial Intelligence

Accelerating Cloud Deep Learning Training with Alluxio: Overview, Usage Levels, and POSIX API Development

This article explains how Alluxio, an open‑source data abstraction layer, can accelerate cloud‑based deep‑learning training by providing POSIX‑compatible caching, simplifying data source integration, and offering three usage levels—from basic read‑through caching to full data‑as‑a‑service abstraction—backed by real‑world case studies and performance results.

AIAlluxioCloud Training
0 likes · 10 min read
Accelerating Cloud Deep Learning Training with Alluxio: Overview, Usage Levels, and POSIX API Development
DataFunSummit
DataFunSummit
Aug 3, 2022 · Artificial Intelligence

AliMe MKG: Multimodal Knowledge Graph for Live E‑commerce and Its Technical Exploration

This report presents AliMe MKG, a multimodal knowledge graph designed for live e‑commerce, detailing its business background, construction and application, the three types of multimodal knowledge (triples, sentences, and visual media), the underlying extraction techniques, and its deployment in digital‑human anchors and intelligent live‑room assistants.

AIDigital Humane‑commerce
0 likes · 19 min read
AliMe MKG: Multimodal Knowledge Graph for Live E‑commerce and Its Technical Exploration
NetEase Yanxuan Technology Product Team
NetEase Yanxuan Technology Product Team
Aug 1, 2022 · Industry Insights

How AI‑Powered Virtual Live Streaming Cuts Costs and Boosts E‑Commerce Engagement

This article examines the technical challenges of traditional e‑commerce live streaming, presents a 24‑hour AI‑driven virtual live‑broadcast system built by Yanxuan and NetEase Fuxi, and details its architecture, virtual‑human generation, automated content creation, intelligent interaction, and future expansion plans.

AIContent GenerationKnowledge Base
0 likes · 23 min read
How AI‑Powered Virtual Live Streaming Cuts Costs and Boosts E‑Commerce Engagement
IT Services Circle
IT Services Circle
Jul 30, 2022 · Information Security

The Evolution and Challenges of CAPTCHAs: From Text Distortion to AI‑Driven Verification

CAPTCHAs, originally created by Carnegie Mellon researchers to block automated bots, have evolved from simple distorted text to complex image‑selection and behavior‑based challenges, prompting user frustration and driving innovations such as Google’s reCAPTCHA, Apple’s Private Access Tokens, and AI‑generated puzzles that aim to balance security, privacy, and usability.

AICaptchaUser experience
0 likes · 8 min read
The Evolution and Challenges of CAPTCHAs: From Text Distortion to AI‑Driven Verification
DataFunSummit
DataFunSummit
Jul 30, 2022 · Artificial Intelligence

Graph Link Prediction Techniques, Self‑Developed GNN Models, and Applications in Risk Control

This article reviews graph link prediction problems, categorizes existing methods from heuristics to GNN‑based approaches, introduces several self‑designed neighborhood attention networks and adversarial negative‑sampling strategies, discusses pairwise ranking objectives, reports OGB competition results, and explores practical risk‑control applications.

AIgraph link predictiongraph neural networks
0 likes · 15 min read
Graph Link Prediction Techniques, Self‑Developed GNN Models, and Applications in Risk Control
21CTO
21CTO
Jul 29, 2022 · Artificial Intelligence

What Gartner’s 2022 Tech Trends Reveal About AI and Enterprise IT

Gartner’s 2022 strategic technology trends highlight how AI, cloud‑native platforms, data fabric, and security innovations are reshaping enterprises, urging CIOs to engineer trust, shape change, and accelerate growth while preparing for generative AI, autonomous systems, and total experience strategies.

AICloud NativeData Fabric
0 likes · 9 min read
What Gartner’s 2022 Tech Trends Reveal About AI and Enterprise IT
NetEase LeiHuo Testing Center
NetEase LeiHuo Testing Center
Jul 29, 2022 · Artificial Intelligence

AI‑Powered Compatibility Testing for Mobile Games: Platform Design, Scene Traversal, and Anomaly Detection

This article describes an AI‑driven mobile game compatibility testing framework that combines a cloud device farm, a Poco‑based scene‑traversal module with reinforcement‑learning click strategies, and a computer‑vision anomaly detection model enhanced by data‑augmentation techniques to identify UI defects across diverse devices and game scenarios.

AIReinforcement LearningScene Traversal
0 likes · 14 min read
AI‑Powered Compatibility Testing for Mobile Games: Platform Design, Scene Traversal, and Anomaly Detection
DataFunSummit
DataFunSummit
Jul 27, 2022 · Artificial Intelligence

DataFun 2022 Natural Language Processing Summit – Leading Experts Discuss Large‑Scale Language Models, Multimodal Understanding, Dialogue Systems and AI Applications

The DataFun 2022 NLP Summit, held on July 30, brings together top researchers and industry leaders from Alibaba, Baidu, Microsoft, Amazon, and more to present the latest advances in large‑scale pre‑training, multimodal perception, information extraction, dialogue interaction, machine translation, and practical AI deployments, with live streaming and free registration via QR code.

AIDialogue SystemsInformation Extraction
0 likes · 44 min read
DataFun 2022 Natural Language Processing Summit – Leading Experts Discuss Large‑Scale Language Models, Multimodal Understanding, Dialogue Systems and AI Applications
DataFunSummit
DataFunSummit
Jul 27, 2022 · Artificial Intelligence

Intelligent Creative Advertising: Content Understanding, Generation, and Distribution at JD.com

This article presents JD.com's end‑to‑end intelligent creative system, covering the background of content‑driven e‑commerce, a multi‑stage content understanding pipeline, AI‑powered video, image and copy generation, multimodal creative selection and distribution, and real‑world business impact.

AIAdvertisingMultimodal
0 likes · 27 min read
Intelligent Creative Advertising: Content Understanding, Generation, and Distribution at JD.com
DataFunTalk
DataFunTalk
Jul 27, 2022 · Artificial Intelligence

The 16th National Conference on Knowledge Graphs and Semantic Computing (CCKS 2022) – Overview and Details

The 16th National Knowledge Graph and Semantic Computing Conference (CCKS 2022) organized by the Chinese Society of Chinese Information and hosted by Yanshan University runs from August 24‑27, 2022 in Qinhuangdao, featuring a theme of knowledge graphs empowering the digital economy, multiple academic and industry tracks, poster and demo calls, and registration details.

AIDigital EconomyForum
0 likes · 5 min read
The 16th National Conference on Knowledge Graphs and Semantic Computing (CCKS 2022) – Overview and Details
DataFunTalk
DataFunTalk
Jul 27, 2022 · Big Data

Building a Big Data Platform at FenbeiTong: Architecture, Practices, and Lessons Learned

This article shares FenbeiTong's experience in building a big data platform, covering company background, data construction challenges, technology selection, architecture design, implementation details, data modeling tools, and real-world application scenarios such as CDP and CEM, offering practical insights for similar enterprises.

AIBig Dataarchitecture
0 likes · 19 min read
Building a Big Data Platform at FenbeiTong: Architecture, Practices, and Lessons Learned
DataFunSummit
DataFunSummit
Jul 26, 2022 · Artificial Intelligence

Multi-step Reasoning over Large-scale Knowledge Graphs: Query2Box and SMORE Framework

This talk presents recent advances in multi-step reasoning over large-scale, noisy knowledge graphs, introducing the Query2Box model that uses box embeddings for complex queries and the SMORE framework that enables efficient multi-hop inference on massive graphs through scalable query generation, embedding computation, and training pipelines.

AIQuery2BoxSMORE
0 likes · 14 min read
Multi-step Reasoning over Large-scale Knowledge Graphs: Query2Box and SMORE Framework
Baidu Intelligent Cloud Tech Hub
Baidu Intelligent Cloud Tech Hub
Jul 26, 2022 · Artificial Intelligence

How Sugar BI Merges AI, Big Data, and Zero‑Code Design for Smarter Visual Analytics

This article details Sugar BI’s end‑to‑end technical architecture, covering its AI‑enhanced visual analytics, zero‑code report building, multi‑source data integration, smart chart recommendation, and voice interaction, while illustrating the underlying big‑data and cloud components that power the platform.

AIBIData visualization
0 likes · 18 min read
How Sugar BI Merges AI, Big Data, and Zero‑Code Design for Smarter Visual Analytics
Baobao Algorithm Notes
Baobao Algorithm Notes
Jul 26, 2022 · Artificial Intelligence

Boost Model Accuracy with 6 Proven Training Tricks

This article compiles six practical machine‑learning tricks—including adversarial training (FGM), EMA/SWA, R‑Drop contrastive loss, test‑time augmentation, pseudo‑labeling, and missing‑value imputation—explaining their principles, providing ready‑to‑use code snippets, and discussing their benefits and trade‑offs for stable and faster model training.

AIEMAR-Drop
0 likes · 10 min read
Boost Model Accuracy with 6 Proven Training Tricks
DataFunSummit
DataFunSummit
Jul 25, 2022 · Artificial Intelligence

Intelligent Creative System at Hello: Business Background, Architecture, Implementation, and Reflections

This article presents Hello's Intelligent Creative project, detailing its business motivations, system architecture, algorithmic choices such as seq2seq, VAE, GAN, and pre‑trained models, the implementation of material libraries, tagging, recall strategies, a creative racing model, performance gains, and future challenges.

AICTR predictionad generation
0 likes · 16 min read
Intelligent Creative System at Hello: Business Background, Architecture, Implementation, and Reflections
Huawei Cloud Developer Alliance
Huawei Cloud Developer Alliance
Jul 25, 2022 · Big Data

How Top Teams Accelerated Marine Data Compression in the Ship‑Sea Innovation Contest

The inaugural Ship‑Sea Data Intelligent Application Innovation Competition, co‑hosted by Taihu Lab, Huawei and local authorities, challenged participants to compress massive unstructured marine data, and the winning teams revealed novel preprocessing and encoding‑compression pipelines that dramatically improve storage efficiency while preserving data integrity.

AIdata compressionmarine technology
0 likes · 7 min read
How Top Teams Accelerated Marine Data Compression in the Ship‑Sea Innovation Contest
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Jul 25, 2022 · Artificial Intelligence

Cut LLM Fine‑Tuning Cost to 1.5% Parameters with PST Sparsity

The article introduces Alibaba Cloud’s PST algorithm, a parameter‑efficient sparsity method that combines data‑free and data‑driven importance metrics to achieve low‑rank and structured sparsity, enabling large language models to be fine‑tuned with only 1.5% of parameters while maintaining comparable accuracy.

AIPST algorithmmodel compression
0 likes · 8 min read
Cut LLM Fine‑Tuning Cost to 1.5% Parameters with PST Sparsity
DataFunSummit
DataFunSummit
Jul 24, 2022 · Artificial Intelligence

Construction and Applications of a Traditional Chinese Medicine Knowledge Graph

This report details the concept, systematic construction process, and diverse applications of a large‑scale Traditional Chinese Medicine (TCM) knowledge graph, illustrating how semantic standards, ontology engineering, and graph databases enable intelligent retrieval, recommendation, and clinical decision support across multiple TCM sub‑domains.

AITCMclinical-decision-support
0 likes · 15 min read
Construction and Applications of a Traditional Chinese Medicine Knowledge Graph
NetEase LeiHuo Testing Center
NetEase LeiHuo Testing Center
Jul 22, 2022 · Mobile Development

Intelligent Compatibility Testing Platform for Mobile Game Development

This article describes the design and implementation of an intelligent compatibility testing platform for mobile games, covering device fragmentation challenges, testing strategies, hardware setup, automated and AI‑driven testing services, real‑time monitoring, remote maintenance, and the integration of Airtest for script automation.

AIDevice FarmGame Development
0 likes · 19 min read
Intelligent Compatibility Testing Platform for Mobile Game Development
Architects Research Society
Architects Research Society
Jul 21, 2022 · Mobile Development

Top Mobile App Development Trends for 2022‑2023

The article outlines the most influential mobile app development trends for 2022‑2023, including 5G adoption, AI and machine learning, AR/VR, blockchain, mobile commerce, progressive web apps, instant apps, beacon technology, and wearables, highlighting how each technology reshapes performance, user experience, and business opportunities.

5GAIAR/VR
0 likes · 6 min read
Top Mobile App Development Trends for 2022‑2023
Huawei Cloud Developer Alliance
Huawei Cloud Developer Alliance
Jul 20, 2022 · Artificial Intelligence

AI Boosts Ship‑Sea Target Detection: Lessons from the First Innovation Competition

The inaugural Ship‑Sea Data Intelligent Application Innovation Competition, co‑hosted by Taihu Laboratory, Huawei and Wuxi authorities, showcased cutting‑edge AI techniques—such as multi‑scale training, TTA, knowledge distillation, and model pruning—to improve surface and underwater target detection for vessels, nets, buoys, and marine life, while offering transparent rankings, research funding, and a platform for advancing maritime AI.

AIDeep LearningMaritime
0 likes · 7 min read
AI Boosts Ship‑Sea Target Detection: Lessons from the First Innovation Competition
DataFunTalk
DataFunTalk
Jul 20, 2022 · Artificial Intelligence

AliMe MKG: Building and Applying a Multimodal Knowledge Graph for Live E‑commerce

This report details the design, construction, and deployment of AliMe MKG, a multimodal knowledge graph that powers digital‑human anchors and smart assistants in live‑stream e‑commerce by integrating triple‑level, sentence‑level, and visual knowledge through advanced AI techniques such as image‑text matching, video grounding, multimodal NER, and entity linking.

AIe-commerce live streamingentity linking
0 likes · 17 min read
AliMe MKG: Building and Applying a Multimodal Knowledge Graph for Live E‑commerce
Laiye Technology Team
Laiye Technology Team
Jul 16, 2022 · Artificial Intelligence

Seal (Stamp) Recognition in Intelligent Document Processing: Challenges, Methods, and Experiments

This article explains how intelligent document processing uses deep‑learning‑based seal detection and OCR techniques—enhanced YOLOv5, multi‑label loss, combined NMS, and end‑to‑end models such as Mask‑TextSpotter, ABCNet, PGNet, and TrOCR—to overcome diverse stamp styles, background interference, and image quality issues, presenting experimental results that surpass commercial OCR vendors.

AIDocument ProcessingOCR
0 likes · 13 min read
Seal (Stamp) Recognition in Intelligent Document Processing: Challenges, Methods, and Experiments
Architects Research Society
Architects Research Society
Jul 15, 2022 · Mobile Development

Top 15 Mobile App Development Trends to Watch in 2022

The 2022 mobile app development landscape is shaped by rapid advances such as 5G, foldable devices, AR/VR, AI, blockchain, predictive analytics, IoT support, and evolving user expectations, making it essential for developers to adopt these trends to create fast, secure, and innovative applications that stand out in a crowded market.

2022 trends5GAI
0 likes · 21 min read
Top 15 Mobile App Development Trends to Watch in 2022
Zuoyebang Tech Team
Zuoyebang Tech Team
Jul 15, 2022 · Artificial Intelligence

How AI Scores Poetry Recitation: Inside Real-Time Speech Evaluation Tech

This article explains how the homework‑help platform uses computer‑assisted language learning and neural network models to automatically evaluate spoken poetry, detailing the evaluation dimensions, reliability metrics like Pearson correlation and kappa, data‑driven feature extraction, ONNX deployment, and continuous model improvement through patented automatic data feedback.

AIONNX__call__
0 likes · 3 min read
How AI Scores Poetry Recitation: Inside Real-Time Speech Evaluation Tech
NetEase LeiHuo UX Big Data Technology
NetEase LeiHuo UX Big Data Technology
Jul 14, 2022 · Artificial Intelligence

Evolution of Real‑Time Game Recommendation System at NetEase Leihuo

The article reviews the development of NetEase Leihuo's game recommendation system, covering the shift from offline batch recommendation to real‑time feature engineering and online inference, detailing architecture design, practical experiences, performance optimizations, and future directions such as real‑time training.

AIGame Industryonline inference
0 likes · 8 min read
Evolution of Real‑Time Game Recommendation System at NetEase Leihuo
DataFunSummit
DataFunSummit
Jul 13, 2022 · Artificial Intelligence

Construction and Application of Meituan's Life Service Knowledge Graph

This article details Meituan's "Meituan Brain" initiative, describing the roadmap and techniques for building large-scale life‑service knowledge graphs—including tag and dish graphs—through data mining, semantic extraction, synonym discovery, graph neural networks, and their integration into search, recommendation, and question‑answering systems.

AIGraph Neural NetworkMeituan
0 likes · 14 min read
Construction and Application of Meituan's Life Service Knowledge Graph
Alimama Tech
Alimama Tech
Jul 13, 2022 · Artificial Intelligence

Fully Automatic Template‑Free Image‑Text Creative Generation System

Alibaba Alimama’s fully automatic, template‑free image‑text creative generation system uses deep‑learning models across material mining, layout synthesis, on‑image copy generation, and visual attribute rendering to produce personalized ad creatives directly from product images and metadata, achieving roughly 19 % CTR lift over prior template‑based methods.

AIComputer VisionGenerative Models
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Fully Automatic Template‑Free Image‑Text Creative Generation System
Airbnb Technology Team
Airbnb Technology Team
Jul 13, 2022 · Product Management

User Segmentation and Journey Mapping for Intelligent Customer Service: Insights for Positive and Negative Explorers

The article examines intelligent customer‑service user segmentation into positive and negative explorers, maps their three‑stage journey—information discovery, focused problem solving, and escalation—and proposes design guidelines and tailored product strategies, such as clearer UI, precise suggestions, and rapid human‑hand‑off, to improve satisfaction.

AIIntelligent Customer ServiceProduct Design
0 likes · 7 min read
User Segmentation and Journey Mapping for Intelligent Customer Service: Insights for Positive and Negative Explorers
AntTech
AntTech
Jul 12, 2022 · Artificial Intelligence

AI Visual Anti‑Fraud Model Battles QR Code Abuse in the Beverage Industry

The article describes how Ant Group's AI visual anti‑fraud system, built by vision engineers, combats large‑scale QR‑code fraud targeting beverage bottle caps, detailing the black‑gray industry's tactics, the model's rapid detection capabilities, continuous unsupervised learning upgrades, and its broader applications in remote‑sensing and risk management.

AIImage ProcessingQR code
0 likes · 13 min read
AI Visual Anti‑Fraud Model Battles QR Code Abuse in the Beverage Industry
DataFunSummit
DataFunSummit
Jul 9, 2022 · Artificial Intelligence

Knowledge Graph Application Cases: Meituan Brain, Sage Knowledge Base, and Other Industry Examples

This article presents several mature knowledge‑graph application cases, including Meituan’s large‑scale “Meituan Brain” for lifestyle services, the Sage Knowledge Base platform by Fourth Paradigm, and additional examples in recommendation, medical, QA, and power‑industry domains, highlighting methods, challenges, and model designs.

AIGraph Neural Networkknowledge graph
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Knowledge Graph Application Cases: Meituan Brain, Sage Knowledge Base, and Other Industry Examples
DaTaobao Tech
DaTaobao Tech
Jul 8, 2022 · Frontend Development

Alibaba Front‑End Intelligent Technology: PipCook, DataCook, imgcook and Future Directions

Alibaba Front‑End Intelligent Technology combines PipCook, DataCook, and imgcook to enable data‑driven UI generation, on‑device AI inference via WASM‑Rust‑SIMD and WebGPU, and applications such as code IntelliSense and design‑to‑code, while outlining a roadmap toward unified AI‑powered interfaces for commerce.

AITensorFlow.jsWasm
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Alibaba Front‑End Intelligent Technology: PipCook, DataCook, imgcook and Future Directions
DataFunTalk
DataFunTalk
Jul 8, 2022 · Artificial Intelligence

Civil Aviation QA Competition (CCL2022‑DQAB): Task Description, Data, Evaluation Metrics, and Prizes

The CCL2022‑DQAB competition, organized by Beihang University and AVIC Mobile Technology, invites participants to develop reading‑comprehension models for extracting accurate question‑answer pairs from civil aviation texts, offering detailed task definitions, evaluation criteria, dataset statistics, a prize structure, and a competition schedule.

AICivil AviationDataset
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Civil Aviation QA Competition (CCL2022‑DQAB): Task Description, Data, Evaluation Metrics, and Prizes
Airbnb Technology Team
Airbnb Technology Team
Jul 4, 2022 · Artificial Intelligence

Intelligent Customer Service Product: Overview, History, Architecture, and Future Trends

The article outlines the evolution, architecture, and core value of intelligent customer service systems—detailing their GUI‑based chatbot interface, triage and dialogue modes, knowledge‑base management, and operator benefits—while highlighting future trends such as richer human‑like interactions, 5G‑enabled channels, and continuous feedback‑driven improvement.

AIChatbotIntelligent Customer Service
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Intelligent Customer Service Product: Overview, History, Architecture, and Future Trends
NetEase LeiHuo Testing Center
NetEase LeiHuo Testing Center
Jul 1, 2022 · Game Development

How NPCs Evoke Emotion in RPGs: Design Principles and Player Interaction

The article analyses how non‑player characters (NPCs) create deep emotional experiences in narrative‑driven games by aligning with player expectations in physics, biology and psychology, providing rich backstories, distinct personalities, moral complexity, and interactive AI that supports protection, cooperation, competition, and task assistance.

AINPC designRPG
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How NPCs Evoke Emotion in RPGs: Design Principles and Player Interaction
DataFunTalk
DataFunTalk
Jul 1, 2022 · Artificial Intelligence

Building and Scaling Ant Group's Merchant Knowledge Graph: Architecture, Construction, Fusion, and Open Platform

This article describes Ant Group's merchant knowledge graph, covering its background, overall architecture, data sources, schema design, processing pipeline, cross‑graph fusion techniques, cognitive applications such as vector‑based recall, and the upcoming open‑source and SDK initiatives aimed at sharing the knowledge and tools with the community.

AIgraph algorithmsknowledge graph
0 likes · 20 min read
Building and Scaling Ant Group's Merchant Knowledge Graph: Architecture, Construction, Fusion, and Open Platform
360 Quality & Efficiency
360 Quality & Efficiency
Jul 1, 2022 · Artificial Intelligence

Building an End-to-End Image Search System with Milvus and VGG

This article presents a complete image‑search solution that extracts visual features with the VGG16 model, stores them in the Milvus vector database, and provides a set of web APIs for training, querying, counting, searching, and deleting image vectors, all deployed via Docker containers.

AIDeep LearningMilvus
0 likes · 7 min read
Building an End-to-End Image Search System with Milvus and VGG
DataFunSummit
DataFunSummit
Jun 30, 2022 · Artificial Intelligence

MLOps Practices on the Beike Inference Platform: Architecture, Evolution, and Future Plans

This article presents a comprehensive overview of Beike's machine learning platform and its inference service, detailing the platform's architecture, GPU virtualization, cloud‑native migration, MLOps implementation, and future roadmap to achieve cost‑effective, automated AI model deployment at scale.

AICloud NativeGPU virtualization
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MLOps Practices on the Beike Inference Platform: Architecture, Evolution, and Future Plans
DataFunTalk
DataFunTalk
Jun 30, 2022 · Artificial Intelligence

Building and Applying an Enterprise Relationship Knowledge Graph

This article presents a comprehensive case study on constructing an enterprise relationship knowledge graph for financial technology, detailing data preparation, ontology modeling, graph building, and three practical applications—path query, ultimate controller discovery, and group detection—demonstrating how AI-driven graph analytics can uncover hidden corporate connections.

AIEnterprise Datafinancial technology
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Building and Applying an Enterprise Relationship Knowledge Graph
AntTech
AntTech
Jun 29, 2022 · Big Data

YoDA: Reducing Entropy in Ant Financial Risk Data Systems through White‑Box, Logical, and Integrated Approaches

The YoDA project tackles the growing entropy of Ant Financial's risk data platform by introducing white‑box visibility, logical abstraction, and integrated heterogeneous fusion, enabling systematic governance, cost reduction, and consistent decision‑making across online, offline, and near‑line environments.

AIEntropy ReductionSystem Architecture
0 likes · 21 min read
YoDA: Reducing Entropy in Ant Financial Risk Data Systems through White‑Box, Logical, and Integrated Approaches
Zuoyebang Tech Team
Zuoyebang Tech Team
Jun 28, 2022 · Artificial Intelligence

How AI Drives Education: Inside Zuoyebang’s Massive Question Bank & Smart Grading

Zuoyebang’s chief architect Wang Yan explains how the company leverages AI, large‑scale question banks, automated grading, knowledge graphs, and cloud‑native infrastructure to transform education, detailing the three‑step question‑bank construction, AI‑assisted marking of graphic problems, and strategies for practical AI adoption in schools.

AIAutomated GradingQuestion Bank
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How AI Drives Education: Inside Zuoyebang’s Massive Question Bank & Smart Grading
21CTO
21CTO
Jun 26, 2022 · Artificial Intelligence

Can Babies Teach Us to Build the Next Generation of AI?

Researchers at Trinity College Dublin propose new AI guidelines inspired by infant learning, arguing that babies' experiential, unsupervised learning can overcome current machine learning limitations, and outlining three principles to help develop more efficient, data‑light AI systems.

AIUnsupervised Learninginfant learning
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Can Babies Teach Us to Build the Next Generation of AI?
DataFunSummit
DataFunSummit
Jun 26, 2022 · Artificial Intelligence

Applying Knowledge Graphs to Recruitment: Construction, Tag Mining, and Recommendation at 58.com

58.com’s NLP senior engineer explains how a recruitment knowledge graph is built—through multi‑dimensional tag systems, tag mining, and relation extraction—and how it enhances bidirectional matching and recommendation efficiency, addressing challenges such as weak expression, cold start, and supply‑demand imbalance.

AINLPdata augmentation
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Applying Knowledge Graphs to Recruitment: Construction, Tag Mining, and Recommendation at 58.com
DataFunSummit
DataFunSummit
Jun 25, 2022 · Artificial Intelligence

Image and Text Pretraining: Methods, Practices, and Business Applications in Information Flow

This article reviews large‑scale image and multimodal pre‑training techniques—including contrastive learning, self‑supervised reconstruction, and multimodal alignment—explains data acquisition, model construction, evaluation metrics, and demonstrates how these methods are applied and optimized for real‑world information‑flow services.

AIInformation Flowcontrastive learning
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Image and Text Pretraining: Methods, Practices, and Business Applications in Information Flow
Yunxuetang Frontend Team
Yunxuetang Frontend Team
Jun 24, 2022 · Frontend Development

Front‑End Tech Highlights: Trim JS, AI Code, ES2022, Node Git, Vue3 Reactivity

This roundup covers techniques to slash JavaScript bloat, AI‑driven code generation, the latest ECMAScript 2022 features, a Node‑based Git tutorial, a hands‑on Vue 3 reactivity implementation, cloud‑native database practices, design system fundamentals, grid layout insights, and why front‑end development keeps accelerating.

AIES2022JavaScript
0 likes · 4 min read
Front‑End Tech Highlights: Trim JS, AI Code, ES2022, Node Git, Vue3 Reactivity
DataFunSummit
DataFunSummit
Jun 23, 2022 · Artificial Intelligence

Unlocking Data Potential: Automatic Data Augmentation, Denoising, Active Learning, and Data Splitting

The talk explains how to maximize the value of training data by exploring background on model generalization, automatic data augmentation techniques, denoising strategies, active learning for selecting unlabeled samples, and robust data splitting methods, offering practical guidelines for AI practitioners.

AIData Qualityactive learning
0 likes · 16 min read
Unlocking Data Potential: Automatic Data Augmentation, Denoising, Active Learning, and Data Splitting
HomeTech
HomeTech
Jun 23, 2022 · Artificial Intelligence

Overview of Home Intelligent Recommendation System: Architecture, Design, and Observability

This article presents a comprehensive overview of Home's intelligent recommendation system, detailing its business value, challenges of the previous siloed approach, the platform‑based architecture with standardized capabilities, micro‑service components, and the observability stack that together enable scalable, personalized content delivery for millions of users.

AIData StandardizationMicroservices
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Overview of Home Intelligent Recommendation System: Architecture, Design, and Observability
DataFunSummit
DataFunSummit
Jun 17, 2022 · Artificial Intelligence

Applying Knowledge Graphs to Meituan's Recommendation System

This talk explains how Meituan builds and leverages a massive lifestyle-domain knowledge graph to improve LBS recommendation, covering explicit and implicit graph applications, challenges such as explainability and data sparsity, and advanced models like dual‑memory networks and cross‑domain learning.

AIMeituancross-domain learning
0 likes · 15 min read
Applying Knowledge Graphs to Meituan's Recommendation System
DataFunTalk
DataFunTalk
Jun 17, 2022 · Artificial Intelligence

OPPO Knowledge Graph: Algorithms, Applications, and Future Directions

This article presents OPPO's large‑scale knowledge graph, detailing the algorithmic challenges and solutions for entity classification, alignment, information extraction, and query parsing, and explains how these techniques power the XiaoBu assistant's knowledge‑based QA, search, and recommendation services while outlining future research directions.

AIInformation ExtractionOPPO
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OPPO Knowledge Graph: Algorithms, Applications, and Future Directions
DataFunTalk
DataFunTalk
Jun 17, 2022 · Artificial Intelligence

Issues with Recommender System Benchmarks and Insights from the BARS Paper

This article examines the shortcomings of current recommender system benchmarks, explains why standardized datasets and metrics are essential, and highlights key findings from the recent BARS paper that propose a more open and reproducible benchmarking framework for recommendation research.

AIBARSBenchmarking
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Issues with Recommender System Benchmarks and Insights from the BARS Paper
Architects' Tech Alliance
Architects' Tech Alliance
Jun 16, 2022 · Fundamentals

FPGA Market Overview, Architecture, and Applications

The article outlines FPGA's strong performance and versatility, presents recent market growth figures and drivers, explains the basic architecture and firmware development process, and highlights key applications in automotive, communications, and computer‑vision systems, emphasizing its expanding role in AI and deep‑learning solutions.

AIApplicationsFPGA
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FPGA Market Overview, Architecture, and Applications
NetEase LeiHuo UX Big Data Technology
NetEase LeiHuo UX Big Data Technology
Jun 16, 2022 · Artificial Intelligence

Collaborative Filtering Basics, Variants, and Tricks for Game Fashion Recommendation

An in‑depth overview of collaborative filtering, covering basic item‑based and user‑based methods, their limitations, advanced tricks such as IUF correction, popularity suppression, sliding‑window behavior sequencing, and a concrete implementation for game fashion recommendation, illustrating how to use CF as a baseline in early‑stage product development.

AIBaselinecollaborative filtering
0 likes · 9 min read
Collaborative Filtering Basics, Variants, and Tricks for Game Fashion Recommendation
Zuoyebang Tech Team
Zuoyebang Tech Team
Jun 16, 2022 · Cloud Native

What Makes Zuoyebang’s Cloud‑Native Search System a 2022 Conference Highlight?

The 2022 Cloud Native Industry Conference in Beijing, organized by the China Academy of Information and Communications Technology and the China Communications Standards Association, showcased 14 exemplary cloud‑native cases—including Zuoyebang’s search system—highlighting the rapid growth of China’s cloud‑native ecosystem, its technical innovations, and the release of a national cloud‑native security testing platform.

AIBig DataCloud Native
0 likes · 4 min read
What Makes Zuoyebang’s Cloud‑Native Search System a 2022 Conference Highlight?
DataFunSummit
DataFunSummit
Jun 16, 2022 · Artificial Intelligence

Exploring Graph Computing for Credit Fraud Detection: Background, Applications, Risk Graph System, and Performance Optimization

This article presents a comprehensive overview of how graph computing, powered by AI and big‑data techniques, is applied to credit fraud detection, covering background, pre‑mid‑post fraud scenarios, the risk graph architecture, performance tuning methods, and a Q&A with Ant Group experts.

AIcredit fraud detectiongraph computing
0 likes · 14 min read
Exploring Graph Computing for Credit Fraud Detection: Background, Applications, Risk Graph System, and Performance Optimization
58 Tech
58 Tech
Jun 16, 2022 · Artificial Intelligence

Backend Architecture and Performance Optimization of an AI Interview Robot

This article details the backend architecture, dialogue engine design, resource estimation, and performance optimization techniques of an AI interview robot used in 58.com’s recruitment platform, illustrating how multi‑branch dialogue flows, RTP communication, session management, and monitoring enable scalable, stable, and efficient online interview services.

AIDialogue EngineInterview Robot
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Backend Architecture and Performance Optimization of an AI Interview Robot
AntTech
AntTech
Jun 14, 2022 · Big Data

Insights on Graph Computing: Technology, Applications, and Future Directions

Professor Chen Wenguang discusses how graph computing—originating from graph theory—offers a powerful way to model relationships across industries, its rapid development in China, challenges in scaling, integration with AI via graph neural networks, and the collaborative efforts needed between academia and industry to advance the field.

AIBig DataGraph Processing
0 likes · 17 min read
Insights on Graph Computing: Technology, Applications, and Future Directions
DataFunTalk
DataFunTalk
Jun 11, 2022 · Artificial Intelligence

Explainable Recommendation: Background, Development, Graph‑Based Structured Explanations, and Natural Language Generation Advances

This article reviews the emerging field of explainable recommendation, covering its motivation, historical evolution from template‑based to knowledge‑graph and generative‑language approaches, recent advances in graph‑structured and natural‑language explanations, key research works, industrial applications, and open challenges such as fact‑checking, low‑resource settings, and evaluation methods.

AIexplainable recommendationgraph reasoning
0 likes · 16 min read
Explainable Recommendation: Background, Development, Graph‑Based Structured Explanations, and Natural Language Generation Advances