BestHub
Sign in
Tagged articles
17 articles
Page 1 of 1
Baidu Geek Talk
Baidu Geek Talk
Mar 24, 2025 · Big Data

How Turing Data Finder Transforms Growth Analysis with a Unified Data Platform

The article provides a detailed technical overview of the Turing Data Finder (TDF) platform, describing its background, core components, data schema, ingestion workflow, and a suite of growth‑analysis features such as event, retention, funnel, path, component, distribution, and attribution analysis, while also outlining performance‑optimisation techniques and future development directions.

Big DataData PlatformSQL Optimization
0 likes · 17 min read
How Turing Data Finder Transforms Growth Analysis with a Unified Data Platform
Bilibili Tech
Bilibili Tech
Jun 18, 2024 · Frontend Development

Design and Implementation of a Front-End Observability System for Business Monitoring

The article describes a unified front‑end observability platform that standardizes data‑point collection via a common SDK, automatically generates health and business dashboards, integrates real‑time monitoring and heatmaps, and has been adopted on 140 pages, delivering faster first‑screen loads, lower error and bounce rates, and higher conversion.

DashboardObservabilityPerformance Monitoring
0 likes · 22 min read
Design and Implementation of a Front-End Observability System for Business Monitoring
vivo Internet Technology
vivo Internet Technology
Feb 1, 2023 · Big Data

H5 Tracking Solution and Data Warehouse Design for User Behavior Analysis

The vivo Internet Big Data team presents a standardized, extensible H5 tracking solution that automates data collection via a JavaScript SDK for navigation, focus/blur, and visibility events, incorporates privacy safeguards, and feeds a multi‑layer data‑warehouse architecture with unified ID mapping and bitmap‑based retention modeling to support comprehensive user‑behavior dashboards and future advanced analyses.

Data WarehouseH5 trackingautomatic collection
0 likes · 19 min read
H5 Tracking Solution and Data Warehouse Design for User Behavior Analysis
Bilibili Tech
Bilibili Tech
Jan 10, 2023 · Big Data

Technical Evolution of Bilibili's PolarStar User Behavior Analysis Platform

Bilibili’s PolarStar platform evolved from Spark‑based batch jobs to a Flink‑driven real‑time pipeline and finally to a unified Iceberg‑on‑ClickHouse model, cutting query latency to seconds, saving thousands of CPU cores and hundreds of gigabytes of Redis memory while enabling complex, near‑real‑time user‑behavior analyses and scalable data‑import, rebalancing, and compression optimizations.

ClickHouseFlinkIceberg
0 likes · 30 min read
Technical Evolution of Bilibili's PolarStar User Behavior Analysis Platform
Alimama Tech
Alimama Tech
Aug 4, 2021 · Big Data

Fast Attribution Engine (FAE): High‑Performance Distributed Computing for User Behavior and Advertising Attribution

FAE, Alibaba’s high‑performance distributed MPP engine, stores billions of user‑behavior events in a time‑ordered AFile model and uses stateless masters, importers, mergers and workers with Redis and MySQL metadata to deliver sub‑second, 10‑100× faster ad‑attribution queries across ad‑hoc, offline and near‑real‑time scenarios such as frequency, path and funnel analysis.

Ad AttributionBig DataFAE
0 likes · 11 min read
Fast Attribution Engine (FAE): High‑Performance Distributed Computing for User Behavior and Advertising Attribution
DataFunTalk
DataFunTalk
Aug 3, 2021 · Big Data

Fast Attribution Engine (FAE): A High‑Performance Distributed Computing Engine for User Behavior and Advertising Attribution

The article introduces Alibaba's Fast Attribution Engine (FAE), describing the technical challenges of user behavior and advertising attribution, its data model (AFile), system architecture, performance advantages over traditional OLAP solutions, and a range of application scenarios such as frequency analysis, crowd flow modeling, path, retention, funnel analysis, and visitor selection.

FAEMPP engineadvertising attribution
0 likes · 13 min read
Fast Attribution Engine (FAE): A High‑Performance Distributed Computing Engine for User Behavior and Advertising Attribution
HelloTech
HelloTech
May 14, 2021 · Big Data

User Behavior Analysis System: Architecture, ClickHouse Cluster Deployment, and Analytical Techniques

The article describes a real‑time user behavior analysis platform built on a ClickHouse cluster, detailing its architecture, Hive‑to‑ClickHouse data ingestion with user‑ID routing, table designs for behavior and group data, and five analytical methods—event, funnel, path, retention, and attribution—leveraging shard‑level parallelism and custom functions for high efficiency.

AnalyticsBig DataClickHouse
0 likes · 20 min read
User Behavior Analysis System: Architecture, ClickHouse Cluster Deployment, and Analytical Techniques
58 Tech
58 Tech
Apr 16, 2021 · Artificial Intelligence

Graph Neural Network Based Anti‑Fraud Solution for Online Information Services

The article presents a comprehensive anti‑fraud framework that analyzes black‑market fraud characteristics, reviews conventional fraud‑mitigation methods, and proposes a multimodal graph‑neural‑network approach—leveraging device, behavior, and content similarity—to accurately identify fraudulent users on large‑scale internet platforms.

Multimodal Dataanti‑fraudfraud detection
0 likes · 18 min read
Graph Neural Network Based Anti‑Fraud Solution for Online Information Services
Python Crawling & Data Mining
Python Crawling & Data Mining
Apr 4, 2021 · Big Data

Mastering User Behavior Analysis: 6 Essential Techniques for Data‑Driven Growth

This article explains six key user‑behavior analysis methods—event analysis, retention analysis, distribution analysis, conversion‑funnel analysis, path analysis, and session analysis—showing how they help businesses understand user actions, optimize product design, improve conversion rates, and boost revenue through data‑driven insights.

Big DataRetention Analysisconversion funnel
0 likes · 11 min read
Mastering User Behavior Analysis: 6 Essential Techniques for Data‑Driven Growth
vivo Internet Technology
vivo Internet Technology
Mar 10, 2021 · Big Data

Path Analysis Model Design and Engineering Implementation for Internet Data Operations

The article details the design and engineering of a high‑performance path analysis model for internet data operations, explaining session handling, Sankey visualizations, adjacency‑table storage, multi‑granular session partitioning, Spark‑to‑ClickHouse pipelines, and optimizations that enable billion‑scale user‑path queries in about one second.

Big DataClickHouseOLAP
0 likes · 21 min read
Path Analysis Model Design and Engineering Implementation for Internet Data Operations
Alibaba Terminal Technology
Alibaba Terminal Technology
Dec 28, 2020 · Big Data

Unlocking Massive-Scale User Behavior Analysis: From Funnels to Intelligent Links

This talk explores how to conduct user behavior analysis on massive data sets, compares existing analytics tools, and presents Alibaba Dataworks' end‑to‑end solution—including funnel and link visualizations, a big‑data processing architecture, and future intelligent link capabilities—to uncover and resolve user‑experience issues efficiently.

Alibaba CloudBig DataData visualization
0 likes · 16 min read
Unlocking Massive-Scale User Behavior Analysis: From Funnels to Intelligent Links
Tencent Advertising Technology
Tencent Advertising Technology
Oct 29, 2020 · Artificial Intelligence

Large-Scale User Visits Understanding and Forecasting with Deep Spatial-Temporal Tensor Factorization Framework

This article discusses a deep spatial-temporal tensor factorization framework for large-scale user visits understanding and forecasting, addressing challenges in advertising inventory prediction and demonstrating significant improvements over traditional methods.

Data ScienceDeep Learningadvertising inventory prediction
0 likes · 9 min read
Large-Scale User Visits Understanding and Forecasting with Deep Spatial-Temporal Tensor Factorization Framework
Beike Product & Technology
Beike Product & Technology
Sep 28, 2018 · Databases

Using ClickHouse for Large‑Scale User Behavior Analysis at Beike Zhaofang

This article details how Beike Zhaofang leveraged the ClickHouse columnar OLAP database for large‑scale user behavior analysis, covering its architecture, key features, performance benchmarks against other engines, data ingestion pipelines, custom UDFs for funnel and retention metrics, deployment setup, and future enhancements.

ClickHouseFunnel AnalysisOLAP
0 likes · 13 min read
Using ClickHouse for Large‑Scale User Behavior Analysis at Beike Zhaofang
Meituan Technology Team
Meituan Technology Team
Mar 22, 2018 · Big Data

High-Performance User Behavior Analysis Solution for Massive Data

The paper describes a high‑performance user‑behavior analysis system that processes hundreds of billions of daily logs for Meituan‑Dianping, using an inverted‑index structure with bitmap UUID sets and timestamp sequences, combined with Spark, Spring and Alluxio optimizations to cut query times from hours to under five seconds.

Big DataOLAP analysisdistributed computing
0 likes · 14 min read
High-Performance User Behavior Analysis Solution for Massive Data
58 Tech
58 Tech
Dec 15, 2017 · Big Data

Design and Architecture of WMDA: A Comprehensive User Behavior Analysis Platform

The article details WMDA, a no‑code and manual‑code data collection platform for PC, mobile and app that supports real‑time and offline user behavior analysis, describing its functional model, behavior taxonomy, five‑layer architecture, tracking techniques, circle‑selection, data services, streaming and batch processing pipelines, and related technologies such as Storm, Spark, Druid and Roaring Bitmap.

Big DataDruidReal-time Streaming
0 likes · 18 min read
Design and Architecture of WMDA: A Comprehensive User Behavior Analysis Platform
iQIYI Technical Product Team
iQIYI Technical Product Team
Aug 18, 2017 · Operations

iQiyi Video Buffering Analysis and Handling Experience

iQiyi monitors video buffering across millions of users, classifies anomalies into internal, server, operator, and user causes, uses a buffer perception system with clustering and SVM predictions, automates multi‑dimensional alerts, and resolves over 93% of non‑operator incidents within 15 minutes.

BufferingOperationsmonitoring systems
0 likes · 18 min read
iQiyi Video Buffering Analysis and Handling Experience