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machine learning

1918 articles · Page 20 of 20
Architects Research Society
Architects Research Society
Oct 16, 2015 · Artificial Intelligence

From RankNet to Boosted Decision Trees: Evolution of Bing’s Search Ranking Algorithms

Chris Burges recounts Microsoft’s transition from the early “Flying Dutchman” system to RankNet and finally to Boosted Decision Trees, explaining how fast experimentation, LambdaRank/MART innovations, and large‑scale data handling have dramatically improved Bing’s search ranking accuracy and efficiency.

Boosted Decision TreesLambdaMARTRankNet
0 likes · 11 min read
From RankNet to Boosted Decision Trees: Evolution of Bing’s Search Ranking Algorithms
Art of Distributed System Architecture Design
Art of Distributed System Architecture Design
Oct 8, 2015 · Artificial Intelligence

Facebook AI Research (FAIR): History, Teams, Projects, and Vision

The article chronicles Facebook's evolution from a social platform into a leading AI research hub, detailing the founding of FAIR, its key personnel, ambitious goals, major projects such as memory networks, embedding world, DeepFace, language technology, and the M assistant, and highlights the open, collaborative nature of its AI work.

AI researchFAIRFacebook
0 likes · 17 min read
Facebook AI Research (FAIR): History, Teams, Projects, and Vision
21CTO
21CTO
Sep 28, 2015 · Artificial Intelligence

How Meituan Built a Scalable AI‑Powered Recommendation Engine

This article details Meituan's end‑to‑end recommendation system, covering its four‑layer architecture, data sources, candidate‑generation strategies, fusion methods, and both linear and non‑linear re‑ranking models, while highlighting practical optimizations like AB testing and online learning.

Meituandata pipelinesmachine learning
0 likes · 15 min read
How Meituan Built a Scalable AI‑Powered Recommendation Engine
21CTO
21CTO
Sep 16, 2015 · Artificial Intelligence

Why Deep Learning Marks a Turning Point in Artificial Intelligence

The article traces humanity’s long‑standing quest for intelligent machines—from early mechanical curiosities and Turing’s seminal test to modern breakthroughs in deep learning, highlighting how hierarchical feature learning, massive data, and collaborative open‑source efforts are reshaping AI and its future impact.

AI historyartificial-intelligencedeep learning
0 likes · 10 min read
Why Deep Learning Marks a Turning Point in Artificial Intelligence
Qunar Tech Salon
Qunar Tech Salon
Aug 14, 2015 · Big Data

The Nine Laws of Data Mining: Principles, Processes, and Insights

This article presents nine fundamental laws of data mining—covering goals, knowledge, preparation, experimentation, patterns, insight, prediction, value, and change—explaining how business objectives and domain expertise drive each stage of the CRISP‑DM process and why technical metrics alone cannot guarantee success.

CRISP-DMData preprocessingPredictive Modeling
0 likes · 19 min read
The Nine Laws of Data Mining: Principles, Processes, and Insights
Model Perspective
Model Perspective
Jul 22, 2015 · Artificial Intelligence

How Data Mining Can Transform School Learning: Insights from AI

This essay examines how data‑mining techniques underpinning artificial intelligence can be applied to school learning, proposing a framework for data collection, analysis, and interpretation to uncover deeper insights into student behavior and improve educational outcomes.

AILearning Analyticseducation
0 likes · 6 min read
How Data Mining Can Transform School Learning: Insights from AI
Qunar Tech Salon
Qunar Tech Salon
Jul 12, 2015 · Big Data

Airbnb OpenAir Conference: Open‑Source Tools Airpal, Aerosolve, and Airflow

At Airbnb’s inaugural OpenAir conference, the company unveiled three open‑source big‑data tools—Airpal, a Presto‑based visual SQL query engine; Aerosolve, an interpretable machine‑learning engine for pricing recommendations; and Airflow, an internal platform for orchestrating and monitoring data pipelines.

AirbnbBig DataOpenAir
0 likes · 4 min read
Airbnb OpenAir Conference: Open‑Source Tools Airpal, Aerosolve, and Airflow
Suning Technology
Suning Technology
Jun 18, 2015 · Artificial Intelligence

How Suning Uses Naive Bayes for High‑Accuracy Product Classification

This article explains Suning's implementation of a Naive Bayes‑based product classification system, detailing its basic theory, formal definition, step‑by‑step training process, three implementation phases, evaluation results, and error analysis to improve classification accuracy.

Naive BayesSuningText Classification
0 likes · 6 min read
How Suning Uses Naive Bayes for High‑Accuracy Product Classification
Ctrip Technology
Ctrip Technology
May 14, 2015 · Artificial Intelligence

Data‑Driven User Experience: Machine Learning Applications in Hotel Booking and Marketing at Ctrip

In his 2015 China Hotel Marketing Summit keynote, Ctrip CTO Ye Yamin explained how machine‑learning models built on purchase behavior and order data improve hotel room availability predictions, shorten confirmation times, personalize recommendations, and evaluate advertising effectiveness, illustrating a data‑driven approach to user experience and operations.

Big DataMarketingdata analytics
0 likes · 14 min read
Data‑Driven User Experience: Machine Learning Applications in Hotel Booking and Marketing at Ctrip
MaGe Linux Operations
MaGe Linux Operations
Apr 22, 2015 · Artificial Intelligence

Your Complete Python Roadmap to Become a Data Scientist

This guide outlines a comprehensive, step‑by‑step Python learning path for aspiring data scientists, covering environment setup, core language fundamentals, regular expressions, scientific libraries such as NumPy, SciPy, Matplotlib, Pandas, data visualization, machine‑learning with scikit‑learn, and an introduction to deep learning, with curated resources and practice projects.

Data VisualizationNumPydata science
0 likes · 11 min read
Your Complete Python Roadmap to Become a Data Scientist
Qunar Tech Salon
Qunar Tech Salon
Mar 15, 2015 · Artificial Intelligence

Overview of Common Classification Algorithms in Data Mining

This article introduces the concepts of classification and prediction in data mining, outlines their workflow, and provides concise explanations of six widely used classification techniques—decision trees, K‑Nearest Neighbour, Support Vector Machine, Vector Space Model, Bayesian methods, and neural networks—highlighting their principles, advantages, and limitations.

BayesianDecision Treedata mining
0 likes · 9 min read
Overview of Common Classification Algorithms in Data Mining
Qunar Tech Salon
Qunar Tech Salon
Mar 14, 2015 · Artificial Intelligence

Common Distance and Similarity Measures in Machine Learning and Data Mining

This article reviews the most frequently used distance and similarity formulas in machine learning and data mining, explaining their definitions, mathematical properties, practical examples, and when each metric is appropriate for measuring differences between data points or probability distributions.

Cosine SimilarityKL divergenceMahalanobis Distance
0 likes · 13 min read
Common Distance and Similarity Measures in Machine Learning and Data Mining
Meituan Technology Team
Meituan Technology Team
Jan 31, 2015 · Artificial Intelligence

Meituan Recommendation System Architecture and Optimization Practices

Meituan’s recommendation platform comprises a data layer, a multi‑strategy candidate generation layer, a fusion‑and‑filtering layer, and a ranking layer that uses additive‑grove tree ensembles and online‑updated logistic regression, leveraging extensive user behavior logs, location, query, graph and real‑time signals to deliver personalized deals.

MeituanRankingmachine learning
0 likes · 14 min read
Meituan Recommendation System Architecture and Optimization Practices
Meituan Technology Team
Meituan Technology Team
Dec 18, 2014 · Artificial Intelligence

Auto-Label Missing POI Categories Using Naive Bayes and Feature Selection

This article details a step‑by‑step machine‑learning pipeline that transforms over one million calibrated POI records into feature vectors, selects discriminative terms via information‑gain and domain rules, trains a Naive Bayes classifier, and achieves 91% accuracy with 84% coverage on unseen POI data.

Chinese NLPNaive BayesPOI classification
0 likes · 12 min read
Auto-Label Missing POI Categories Using Naive Bayes and Feature Selection
Baidu Tech Salon
Baidu Tech Salon
Oct 21, 2014 · Big Data

Baidu's Big Data Intelligence: From Data to Intelligence - QCon2014 Presentation

At QCon2014, Baidu Research’s Shen Zhiyong showcased the company’s massive big‑data engine—20,000 PB storage and daily processing of up to 100 PB—highlighting open platforms like Baidu Brain and real‑world prediction projects for tourism, the World Cup, disease outbreaks, and UN collaborations, while urging industry‑wide data‑driven transformation.

BaiduData Intelligencedata mining
0 likes · 8 min read
Baidu's Big Data Intelligence: From Data to Intelligence - QCon2014 Presentation
Baidu Tech Salon
Baidu Tech Salon
Aug 18, 2014 · Big Data

Big Data and Prediction: Insights from Baidu Research Lab

At Baidu’s 53rd Technology Salon, researcher Shen Zhiyong outlined the lab’s vision of an online intelligent system that unifies monitoring, anomaly detection, diagnosis and big‑data‑driven prediction—using time‑series, causal and simulation analyses—to forecast tourism crowds, predict Gaokao essay topics, and illustrate both the opportunities and challenges of processing massive, heterogeneous data for real‑time decision support.

BaiduTime Series Analysismachine learning
0 likes · 8 min read
Big Data and Prediction: Insights from Baidu Research Lab
Suning Design
Suning Design
Jul 17, 2014 · Mobile Development

What’s Next for Mobile Search? Exploring Future Input, Data, and Output Innovations

Mobile search is evolving beyond traditional keyword queries, with emerging trends in precise user profiling, crowdsourced data, voice and natural language understanding, deep linking, machine learning, and structured, intelligent result aggregation, promising a more personalized, context‑aware, and seamless search experience on smartphones.

deep linkingmachine learningmobile search
0 likes · 9 min read
What’s Next for Mobile Search? Exploring Future Input, Data, and Output Innovations