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Page 11 of 27
JD Tech Talk
JD Tech Talk
Apr 25, 2024 · Artificial Intelligence

Evolution of JD Recommendation Advertising Ranking and Auction Mechanisms

This article reviews the evolution of JD’s recommendation advertising ranking mechanism, covering its economic auction origins, challenges of multi‑material valuation, user interest uncertainty, and multi‑item auction fairness, and describes AI‑driven solutions such as deep auction models and reinforcement‑learning‑based ListVCG.

Recommendation Systemsadvertisingauction
0 likes · 19 min read
Evolution of JD Recommendation Advertising Ranking and Auction Mechanisms
JD Tech Talk
JD Tech Talk
Aug 7, 2020 · Information Security

Fraudar: Graph-Based Fraud Detection in Bipartite Transaction Networks

The article explains how e‑commerce fraud such as fake order brushing can be modeled as a bipartite transaction network and tackled with the Fraudar algorithm, which iteratively removes low‑suspicion nodes using a global suspiciousness metric and priority‑tree structures to uncover dense suspicious sub‑graphs.

bipartite graphe-commercefraud detection
0 likes · 14 min read
Fraudar: Graph-Based Fraud Detection in Bipartite Transaction Networks
Ctrip Technology
Ctrip Technology
Nov 10, 2022 · Artificial Intelligence

Improving Search Intent Recognition and Term Weighting with Deep Learning and Model Distillation at Ctrip

This article describes how Ctrip's R&D team applied deep‑learning models, BERT‑based embeddings, knowledge distillation, and term‑weighting techniques to enhance e‑commerce search intent recognition and term importance estimation, achieving high accuracy while meeting sub‑10 ms latency requirements.

BERTDeep LearningModel Distillation
0 likes · 12 min read
Improving Search Intent Recognition and Term Weighting with Deep Learning and Model Distillation at Ctrip
Ctrip Technology
Ctrip Technology
Oct 19, 2017 · Artificial Intelligence

Intelligent Human‑Computer Interaction: Technical Practices of Alibaba’s “Ali Xiaomi” Chatbot

This article presents a comprehensive overview of Alibaba’s intelligent chatbot “Ali Xiaomi”, covering industry context, e‑commerce deployment, NLU architecture, intent‑matching layers, deep‑learning‑based intent classification, reinforcement‑learning‑driven recommendation, knowledge‑graph‑enhanced services, and hybrid retrieval‑generation dialogue models, with future outlooks for AI‑driven interaction.

Deep Learningchatbote-commerce
0 likes · 18 min read
Intelligent Human‑Computer Interaction: Technical Practices of Alibaba’s “Ali Xiaomi” Chatbot
Ctrip Technology
Ctrip Technology
May 6, 2017 · Artificial Intelligence

Product Matching in E‑commerce: Rule‑based, Feature‑Engineering, and Pure Data‑driven Approaches Using Factorization Machines

This article examines e‑commerce product matching, comparing rule‑based methods, feature‑engineering models, and a pure data‑driven Factorization Machine approach, detailing their advantages, challenges, training techniques, and successive optimizations to improve matching accuracy and operational efficiency.

Factorization MachinesMachine Learninge-commerce
0 likes · 12 min read
Product Matching in E‑commerce: Rule‑based, Feature‑Engineering, and Pure Data‑driven Approaches Using Factorization Machines
Ctrip Technology
Ctrip Technology
Aug 4, 2014 · Product Management

The Evolution and Business Strategies of China’s Online Travel Giant Ctrip

This article analyzes how Ctrip transformed from a simple flight and hotel booking platform into a dominant, integrated travel ecosystem through aggressive pricing wars, strategic investments, mobile expansion, and partnerships, reshaping the Chinese online travel market and its profit structures.

Business StrategyCtripe-commerce
0 likes · 18 min read
The Evolution and Business Strategies of China’s Online Travel Giant Ctrip
58 Tech
58 Tech
Oct 28, 2019 · Artificial Intelligence

Ranking Strategy Optimization Practice in 58 Commercial Traffic

This article details the comprehensive optimization of 58's commercial traffic ranking system, covering data‑flow upgrades, advanced feature engineering, model enhancements—including online training, multi‑task and relevance models—and a multi‑factor ranking mechanism that together improve monetization efficiency and user experience.

Machine Learninge-commercefeature engineering
0 likes · 16 min read
Ranking Strategy Optimization Practice in 58 Commercial Traffic
Hujiang Technology
Hujiang Technology
Sep 13, 2017 · Backend Development

Domain-Driven Design of an E‑commerce Transaction System

This article explores how to apply Domain‑Driven Design principles to structure and simplify a complex e‑commerce transaction system, detailing sub‑domain division, model refinement, core order‑service design, and the use of design patterns to achieve a maintainable backend architecture.

Design Patternsbackend architecturedomain-driven design
0 likes · 10 min read
Domain-Driven Design of an E‑commerce Transaction System
Zhuanzhuan Tech
Zhuanzhuan Tech
Mar 13, 2025 · Backend Development

Design and Implementation of a Real-Time Product Tagging Platform for a Second‑Hand E‑Commerce System

This article presents a comprehensive technical case study of a three‑layer product‑tagging platform that addresses the challenges of fine‑grained operations, ensures real‑time tag updates, guarantees data consistency, and eliminates read bottlenecks through traffic separation, event‑driven processing, deduplication MQ, and multi‑level caching.

backend architecturecachingdata consistency
0 likes · 13 min read
Design and Implementation of a Real-Time Product Tagging Platform for a Second‑Hand E‑Commerce System
Zhuanzhuan Tech
Zhuanzhuan Tech
Sep 19, 2024 · Artificial Intelligence

Multi-Task Learning for Category Prediction in Zhaozhuan Search Intent Understanding

This article introduces multi‑task learning, reviews industry category‑prediction methods, and details Zhaozhuan's practical application of MTL to improve e‑commerce search intent understanding through hierarchical category, brand, and model prediction using RoBERTa and contrastive learning.

Artificial IntelligenceCategory PredictionNLP
0 likes · 11 min read
Multi-Task Learning for Category Prediction in Zhaozhuan Search Intent Understanding
Zhuanzhuan Tech
Zhuanzhuan Tech
Nov 6, 2024 · Artificial Intelligence

Multi-Task Learning for E-commerce Search: Overview, Practices, and Model Design in the Zhuanzhuan Scenario

This article reviews the necessity, benefits, and practical implementations of multi-task learning in e‑commerce search, detailing model selection, architecture extensions such as ESMM and ESM², and future directions for handling user behavior sequences and multi‑objective optimization.

Deep LearningESMMRecommendation Systems
0 likes · 13 min read
Multi-Task Learning for E-commerce Search: Overview, Practices, and Model Design in the Zhuanzhuan Scenario
Zhuanzhuan Tech
Zhuanzhuan Tech
Sep 26, 2024 · Artificial Intelligence

Pricing Strategy and Model Evolution for Second‑Hand Phone Auctions in ZhaiZhai TOB Marketplace

This article examines the characteristics of ZhaiZhai's B2B auction scenario, defines core pricing metrics, presents a step‑by‑step methodology for determining optimal starting prices, reviews early practices and their shortcomings, and details the current modular machine‑learning model architecture that improves transaction rates and reduces price premiums for second‑hand smartphones.

Machine LearningOperationsalgorithm
0 likes · 29 min read
Pricing Strategy and Model Evolution for Second‑Hand Phone Auctions in ZhaiZhai TOB Marketplace
Zhuanzhuan Tech
Zhuanzhuan Tech
Sep 3, 2024 · Backend Development

Design and Implementation of Delivery Promise Timing in ZuanZuan E‑commerce Platform

This article explains how ZuanZuan calculates and displays expected delivery times, outlines the system architecture across order, OMS, WMS, and TMS modules, and describes caching and high‑concurrency techniques used to support millions of delivery‑time queries per second.

Redisbackend architecturecaching
0 likes · 11 min read
Design and Implementation of Delivery Promise Timing in ZuanZuan E‑commerce Platform
Zhuanzhuan Tech
Zhuanzhuan Tech
May 8, 2024 · Backend Development

Optimizing Coupon Combination Algorithms: From Cartesian Product to Array Indexing

This article explains the rules of platform coupons, demonstrates a concrete example, and details three generations of algorithms—from a Cartesian‑product approach to Map‑based and array‑index methods—highlighting their implementations, performance trade‑offs, and a comparative benchmark.

Javaalgorithmcoupon optimization
0 likes · 10 min read
Optimizing Coupon Combination Algorithms: From Cartesian Product to Array Indexing
Zhuanzhuan Tech
Zhuanzhuan Tech
Nov 29, 2023 · Artificial Intelligence

Applying CLIP and Milvus for Image Similarity Search in E‑commerce Risk Control

The article explains how an e‑commerce risk‑control team leverages OpenAI's CLIP model to generate image and text embeddings and stores them in the Milvus cloud‑native vector database to enable fast, scalable similarity searches for compliance verification and risk detection.

AICLIPMilvus
0 likes · 11 min read
Applying CLIP and Milvus for Image Similarity Search in E‑commerce Risk Control
Zhuanzhuan Tech
Zhuanzhuan Tech
Oct 25, 2023 · Artificial Intelligence

Bayesian Statistics and Causal Inference for SKU‑Level Pricing in E‑commerce

The article presents a comprehensive pricing solution for an e‑commerce platform that combines Bayesian statistical modeling, MCMC sampling, and causal inference (including Dragonnet) to achieve controllable, fine‑grained SKU‑level price estimation and optimization.

Bayesian statisticsMachine Learningcausal inference
0 likes · 15 min read
Bayesian Statistics and Causal Inference for SKU‑Level Pricing in E‑commerce
Zhuanzhuan Tech
Zhuanzhuan Tech
Oct 18, 2023 · Artificial Intelligence

Design and Implementation of a Home‑Page Recommendation System Using Reinforcement Learning and DPP

This article presents a comprehensive design for Zhuanzhuan's home‑page recommendation pipeline, detailing the system architecture, challenges of traffic efficiency and diversity, and a two‑stage solution that applies Proximal Policy Optimization reinforcement learning in the re‑ranking module and Determinantal Point Process optimization in the coarse‑ranking and traffic‑pool stages, followed by offline simulation, online deployment, and evaluation metrics.

DPPMachine Learninge-commerce
0 likes · 18 min read
Design and Implementation of a Home‑Page Recommendation System Using Reinforcement Learning and DPP
Zhuanzhuan Tech
Zhuanzhuan Tech
Jun 2, 2023 · Backend Development

Design and Implementation of a Real‑Time Final Price (到手价) Module for E‑commerce

This article describes the background, design goals, core technical solution, versioned implementation process, and performance improvements of a real‑time final‑price calculation module that integrates product price, coupons, and promotions to deliver up‑to‑date pricing for e‑commerce users.

BackendRedise-commerce
0 likes · 10 min read
Design and Implementation of a Real‑Time Final Price (到手价) Module for E‑commerce
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.

AIactive learninge-commerce
0 likes · 10 min read
Designing a Scalable Image Classification System for Prohibited Item Detection in a Second‑hand E‑commerce Platform