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e-commerce

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537 articles
Page 16 of 27
DataFunSummit
DataFunSummit
Aug 28, 2021 · Artificial Intelligence

Evolution of Alibaba’s Advertising Prediction Models: From Linear Regression to Deep Interest Evolution Networks

This article reviews the characteristics of e‑commerce personalized prediction, traces Alibaba’s advertising CTR model evolution from large‑scale logistic regression through deep learning architectures such as DIN and CrossMedia, and discusses future research directions like representation learning and white‑box modeling.

CTR predictionadvertisingdeep learning
0 likes · 13 min read
Evolution of Alibaba’s Advertising Prediction Models: From Linear Regression to Deep Interest Evolution Networks
DataFunSummit
DataFunSummit
Jul 24, 2021 · Artificial Intelligence

Alibaba 1688 User Growth, Full‑Chain Growth System, and Deep‑Learning Applications in Search and Promotion

This article presents a comprehensive overview of Alibaba 1688's user‑growth strategy, detailing lifecycle segmentation, budget‑constrained installation optimization, intelligent red‑packet allocation, smart push mechanisms, information‑flow advertising, and the deep‑learning‑driven search pipeline that together power the platform's growth engine.

Recommendation Systemsbudget optimizatione-commerce
0 likes · 20 min read
Alibaba 1688 User Growth, Full‑Chain Growth System, and Deep‑Learning Applications in Search and Promotion
DataFunSummit
DataFunSummit
Jan 1, 2021 · Big Data

User Profiling: Concepts, Necessity, Construction Methods, and Applications

This article explains what user profiling is, why it is essential for businesses, outlines practical steps to build accurate user profiles, showcases various application scenarios, and provides references for further study, offering a comprehensive overview for data‑driven product and marketing teams.

User Profilingbig datacustomer segmentation
0 likes · 3 min read
User Profiling: Concepts, Necessity, Construction Methods, and Applications
DataFunSummit
DataFunSummit
Dec 6, 2020 · Artificial Intelligence

E‑commerce Search Engine Recall and Vector Retrieval Techniques

This article explains how e‑commerce platforms use inverted indexes for fast word‑based recall, introduce vector‑based semantic retrieval, and combine deep‑learning models such as DSSM and DeepMatch with real‑time user behavior attention networks to generate efficient, personalized candidate sets for ranking.

deep learninge-commercerecall
0 likes · 15 min read
E‑commerce Search Engine Recall and Vector Retrieval Techniques
DataFunTalk
DataFunTalk
Aug 5, 2024 · Artificial Intelligence

Enhancing Taobao Display Advertising with Multimodal Representations: Challenges, Approaches, and Insights

This article presents a comprehensive study on integrating multimodal image‑text representations into large‑scale e‑commerce advertising CTR models, introducing a semantic‑aware contrastive pre‑training (SCL) method and two application algorithms (SimTier and MAKE) that together achieve over 1 % GAUC improvement and significant online gains.

CTR predictionRecommendation Systemscontrastive learning
0 likes · 21 min read
Enhancing Taobao Display Advertising with Multimodal Representations: Challenges, Approaches, and Insights
DataFunTalk
DataFunTalk
Jul 16, 2024 · Big Data

E‑commerce Metric Management Practice Based on DataLeap

This article details ByteDance Volcano Engine's DataLeap‑driven e‑commerce metric management practice, covering the background of metric system construction, challenges of inconsistency, the six‑point platform solution, metric DSL query language, consumption workflow, and future plans for intelligent automation and large‑model integration.

Data PlatformDataLeapMetricDSL
0 likes · 18 min read
E‑commerce Metric Management Practice Based on DataLeap
DataFunTalk
DataFunTalk
Jul 15, 2024 · Big Data

Douyin Group E‑commerce Data Tracking Evolution, Solutions, and Attribution Practices

This article examines Douyin Group's e‑commerce data‑tracking journey, detailing the progression from early log collection to Log 3.0, the challenges posed by rapidly evolving user flows, and the comprehensive solution framework—including BTM/BCM management, SDK capabilities, and an attribution platform—that improves data quality, development efficiency, and attribution accuracy.

Attributionbig datadata engineering
0 likes · 20 min read
Douyin Group E‑commerce Data Tracking Evolution, Solutions, and Attribution Practices
DataFunTalk
DataFunTalk
Jun 19, 2024 · Big Data

Evolution and Practices of E‑commerce Data Warehouse Governance

This article analyzes the current state, development stages, and comprehensive solutions of e‑commerce data‑warehouse governance, covering data quality, cost, security, and efficiency requirements, and presents a roadmap from early‑stage standardization to mature tool‑driven governance with future outlooks.

Cost ManagementData GovernanceData Warehouse
0 likes · 13 min read
Evolution and Practices of E‑commerce Data Warehouse Governance
DataFunTalk
DataFunTalk
Jun 17, 2024 · Artificial Intelligence

AI Agent Applications and Architecture in the 1688 E‑commerce Platform

This article summarizes the exploration of AI agents on the 1688 e‑commerce platform, covering the value of large language models, the agent solution architecture, deployment strategies, multi‑turn interaction design, AI‑driven innovation paradigms, and future planning discussed at DataFunCon 2024.

AI AgentArchitectureDeployment
0 likes · 26 min read
AI Agent Applications and Architecture in the 1688 E‑commerce Platform
DataFunTalk
DataFunTalk
Jun 14, 2024 · Artificial Intelligence

Shopee's E‑commerce Knowledge Graph Construction and Integration with Large Models

This article presents Shopee's comprehensive exploration of building an e‑commerce knowledge graph, detailing its challenges, construction pipeline, AI‑driven extraction and fusion techniques, multilingual and multimodal modeling, and practical applications ranging from search and recommendation to AI assistants and real‑time updates.

AI ApplicationsInformation Extractione-commerce
0 likes · 21 min read
Shopee's E‑commerce Knowledge Graph Construction and Integration with Large Models
DataFunTalk
DataFunTalk
Mar 18, 2024 · Artificial Intelligence

High-Fidelity Image-to-Video Generation for E‑commerce Product Motion with AtomoVideo and Noise Rectification

This article presents Alibaba's research on using diffusion‑based AIGC techniques, including a training‑free Noise Rectification module and the AtomoVideo model, to automatically convert static product images into high‑quality, detail‑preserving video motions for e‑commerce advertising.

AIGCAtomoVideoDiffusion Model
0 likes · 15 min read
High-Fidelity Image-to-Video Generation for E‑commerce Product Motion with AtomoVideo and Noise Rectification
DataFunTalk
DataFunTalk
Jan 16, 2024 · Artificial Intelligence

Applying Knowledge Graphs to E‑commerce AIGC: From Domain‑Specific to General Knowledge Graphs and LLM Integration

This article presents a comprehensive overview of how knowledge graphs are leveraged in e‑commerce AIGC pipelines, detailing domain‑specific and general graph‑based text generation, model architecture, controllable generation techniques, experimental results, and future directions for large language model integration.

AIGCdomain adaptatione-commerce
0 likes · 22 min read
Applying Knowledge Graphs to E‑commerce AIGC: From Domain‑Specific to General Knowledge Graphs and LLM Integration
DataFunTalk
DataFunTalk
Aug 28, 2023 · Big Data

Practical Experience of an E‑commerce Platform’s Offline and Real‑time Data Warehouse

This article shares the practical architecture, technology selection, implementation details, and evolution of an e‑commerce platform’s offline and real‑time data warehouses, covering data modeling, processing pipelines, system components such as Hive, Spark, Flink, ClickHouse, Doris, and Hudi, and the lessons learned from multiple production deployments.

ClickHouseData WarehouseDoris
0 likes · 18 min read
Practical Experience of an E‑commerce Platform’s Offline and Real‑time Data Warehouse
DataFunTalk
DataFunTalk
Jul 12, 2023 · Artificial Intelligence

Evolution of Search EE System: Adaptive Exploration, Scenario Modeling, End-to-End Scoring Consistency, and Context-Aware Brand Store Detection

This article outlines the recent full‑cycle iterations of JD’s search Explore‑Exploit (EE) system, covering adaptive dynamic detection models, upgraded scenario modeling, two‑stage scoring and insertion consistency, end‑to‑end dynamic insertion, and context‑aware brand‑store dimension detection, with detailed methodology, experiments, and online results.

e-commerceexplore‑exploitmachine learning
0 likes · 22 min read
Evolution of Search EE System: Adaptive Exploration, Scenario Modeling, End-to-End Scoring Consistency, and Context-Aware Brand Store Detection
DataFunTalk
DataFunTalk
Jun 28, 2023 · Artificial Intelligence

Building and Applying a Multi‑Language Product Knowledge Graph at Shopee

This presentation details Shopee's approach to constructing a multilingual product knowledge graph, covering ontology modeling, data acquisition, fusion techniques, and practical applications, while discussing challenges, model architectures, and future directions for large‑scale e‑commerce AI systems.

e-commerceknowledge graphmachine learning
0 likes · 20 min read
Building and Applying a Multi‑Language Product Knowledge Graph at Shopee
DataFunTalk
DataFunTalk
Apr 27, 2023 · Big Data

How to Build an E‑commerce Data Metric System

This article explains the concepts of good data metrics, how to identify and select appropriate indicators, and provides a step‑by‑step methodology—including the OSM model and a practical e‑commerce case study—for building a comprehensive data metric system that drives business growth.

KPIOSM modeldata analysis
0 likes · 15 min read
How to Build an E‑commerce Data Metric System
DataFunTalk
DataFunTalk
Dec 7, 2022 · Artificial Intelligence

Entire Space Delayed Feedback with Cross‑Task Knowledge Distillation (ESDC) for Multi‑Task E‑commerce Recommendation

This article presents Xiaomi’s e‑commerce recommendation research, addressing four key challenges—sample selection bias, data sparsity, delayed feedback, and knowledge inconsistency—by introducing the Entire Space Delayed Feedback with Cross‑Task Knowledge Distillation (ESDC) model, which combines causal inference, cross‑task distillation, twin networks, and uncertainty weighting to improve CVR prediction and achieve a 15% GMV lift over the baseline.

AICVRDelayed Feedback
0 likes · 11 min read
Entire Space Delayed Feedback with Cross‑Task Knowledge Distillation (ESDC) for Multi‑Task E‑commerce Recommendation
DataFunTalk
DataFunTalk
Oct 16, 2022 · Artificial Intelligence

Query Understanding and Processing in E‑commerce Search Systems

This article explains the end‑to‑end pipeline of query understanding for e‑commerce search, covering preprocessing, segmentation, spell correction, normalization, and expansion, and discusses both academic research and industry implementations with examples and references.

e-commercenatural language processingquery processing
0 likes · 13 min read
Query Understanding and Processing in E‑commerce Search Systems
DataFunTalk
DataFunTalk
Oct 11, 2022 · Artificial Intelligence

Search vs Recommendation vs Advertising: Concepts, Differences, and System Architectures

This article provides an overview of search, recommendation, and advertising as core internet services, comparing their problem definitions, business goals, algorithmic models, and system architectures across web, e‑commerce, and O2O scenarios, while outlining historical development and key industry examples.

AIInformation Retrievaladvertising
0 likes · 13 min read
Search vs Recommendation vs Advertising: Concepts, Differences, and System Architectures