Tagged articles

12 articles

Page 1 of 1

Network Intelligence Research Center (NIRC)

Aug 30, 2023 · Artificial Intelligence

DeepQueueNet: Scalable Network Performance Estimation with Packet‑Level Visibility

DeepQueueNet combines discrete‑event and continuous simulation with deep neural networks to deliver highly accurate, generalizable, and GPU‑scalable network performance estimates at packet‑level granularity, outperforming existing DNN‑based estimators across diverse topologies and traffic scenarios.

DESDNNDeep Learning

0 likes · 5 min read

DeepQueueNet: Scalable Network Performance Estimation with Packet‑Level Visibility

JD Cloud Developers

Feb 8, 2023 · Operations

Boosting Log Anomaly Detection with NLP and Deep Learning

This article presents a log anomaly detection approach that leverages NLP techniques such as Part‑of‑Speech tagging and Named Entity Recognition combined with deep neural networks, detailing a six‑step model, experimental validation on three datasets, and superior performance compared with existing DeepLog and LogClass methods.

DNNDeep LearningNER

0 likes · 13 min read

Boosting Log Anomaly Detection with NLP and Deep Learning

NetEase LeiHuo Testing Center

Nov 4, 2022 · Artificial Intelligence

Applying AI for Game Balance Testing: DNN Victory Prediction and Genetic Algorithm Optimization

This article details a practical AI-driven workflow for a turn‑based card game, covering problem background, data modeling with a DNN victory‑prediction network, reinforcement‑learning‑based data generation, and a genetic‑algorithm search to identify the strongest and weakest team compositions.

AIDNNGame Balance

0 likes · 18 min read

Applying AI for Game Balance Testing: DNN Victory Prediction and Genetic Algorithm Optimization

Zuoyebang Tech Team

Apr 29, 2022 · Artificial Intelligence

How AI-Powered Speech Evaluation Transforms Language Learning

This article explains the background, evaluation metrics, and technical framework of computer‑assisted language learning, detailing how modern AI‑driven speech assessment systems use HMM‑DNN models, GOP scoring, conformer architectures, streaming solutions, and edge‑cloud deployment to deliver accurate, low‑latency pronunciation feedback for learners.

AIDNNEdge Computing

0 likes · 14 min read

How AI-Powered Speech Evaluation Transforms Language Learning

Baidu Intelligent Testing

Oct 12, 2021 · Artificial Intelligence

Full‑Link Consistency Testing for Click‑Through Rate Models in Large‑Scale Machine Learning

The article describes a comprehensive full‑link consistency testing framework for click‑through‑rate models, defining consistency issues, outlining data and logic consistency goals, and presenting a multi‑stage technical solution—including online data capture, offline data stitching, q‑value comparison, and reporting—to ensure model stability and performance.

DNNclick-through ratedata pipeline

0 likes · 18 min read

Full‑Link Consistency Testing for Click‑Through Rate Models in Large‑Scale Machine Learning

Ctrip Technology

Apr 9, 2021 · Artificial Intelligence

Algorithm Optimization for Hotel Recommendation and Large‑Scale Discrete DNN Training at Ctrip

This article describes how Ctrip improved hotel recommendation by iterating from logistic regression to GBDT and deep neural networks, designing continuous and discrete features, adopting multi‑task learning with click and conversion signals, and building a large‑scale distributed DNN training and unified feature‑processing framework to boost model accuracy and engineering efficiency.

CtripDNNLarge-Scale Training

0 likes · 15 min read

Algorithm Optimization for Hotel Recommendation and Large‑Scale Discrete DNN Training at Ctrip

DataFunTalk

Jan 25, 2021 · Artificial Intelligence

Evolution of Zhihu Search Ranking Models: From GBDT to DNN, Multi‑Goal and Context‑Aware LTR

This article reviews the development of Zhihu's search system, describing the transition from early GBDT ranking to deep neural networks, the introduction of multi‑objective and position‑bias‑aware learning‑to‑rank methods, context‑aware techniques, end‑to‑end training, personalization, and future research directions.

DNNDeep LearningGBDT

0 likes · 17 min read

Evolution of Zhihu Search Ranking Models: From GBDT to DNN, Multi‑Goal and Context‑Aware LTR

iQIYI Technical Product Team

Oct 31, 2019 · Artificial Intelligence

Online Learning for Large‑Scale DNN Ranking Models in iQIYI Feed Recommendation

iQIYI’s feed recommendation system adopts an online‑learning framework that continuously trains a massive Wide‑and‑Deep DNN on billions of streaming samples, handling dynamic user interests, OOV embeddings, delayed labels, and non‑convex optimization, enabling hourly model refreshes and delivering up to 3.8 % higher consumption versus offline baselines.

DNNOnline LearningReal-time Training

0 likes · 17 min read

Online Learning for Large‑Scale DNN Ranking Models in iQIYI Feed Recommendation

iQIYI Technical Product Team

Jun 28, 2019 · Artificial Intelligence

iQIYI's RSLIME: A Novel Feature Importance Analysis Method for Video Recommendation Systems

iQIYI introduces RSLIME, a model‑agnostic, sample‑level feature importance method for its three‑stage small‑video recommendation system, enabling interpretable analysis of a complex ranking module that combines DNN, GBDT, and FM, and demonstrating stable, AUC‑correlated insights for optimization and feature selection.

DNNFMGBDT

0 likes · 11 min read

iQIYI's RSLIME: A Novel Feature Importance Analysis Method for Video Recommendation Systems

Hulu Beijing

Apr 22, 2019 · Artificial Intelligence

How Has Speech Recognition Evolved from Traditional Methods to Modern Deep Learning?

This article reviews the fundamentals of automatic speech recognition, compares traditional MFCC‑GMM‑HMM pipelines with modern deep neural network approaches such as DNN‑HMM, LSTM‑CTC, and attention‑based models, and illustrates each evolution step with flowchart diagrams and key references.

ASRCTCDNN

0 likes · 11 min read

How Has Speech Recognition Evolved from Traditional Methods to Modern Deep Learning?

58 Tech

Feb 2, 2018 · Artificial Intelligence

Deep Learning Applications in 58.com Intelligent Recommendation System

This article details how 58.com leverages deep learning models such as FNN, Wide&Deep, CNN+DNN, and YouTube DNN recall, along with a custom AI platform, to enhance recommendation ranking and recall, achieving measurable improvements in click‑through rates and overall system performance.

CNNDNNFNN

0 likes · 13 min read

Deep Learning Applications in 58.com Intelligent Recommendation System

Alibaba Cloud Developer

Mar 3, 2017 · Artificial Intelligence

How DNN Breaks Feature Scaling Limits in Search Ranking

This article examines the challenges of high‑dimensional sparse features in search ranking, explains why traditional linear models struggle, and describes how deep neural networks with novel encoding schemes and online updates can dramatically improve CTR prediction and real‑time performance.

CTR predictionDNNDeep Learning

0 likes · 12 min read