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Alimama Tech

Mar 14, 2024 · Artificial Intelligence

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

Alibaba’s AI team introduced AtomoVideo, a diffusion‑based image‑to‑video generator enhanced by a training‑free Noise Rectification module that adds and corrects controlled noise to eliminate first‑frame errors, enabling merchants to automatically create high‑fidelity 4‑second 720p product videos with strong temporal consistency for e‑commerce advertising.

AIAIGCDiffusion Model

0 likes · 10 min read

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

Alimama Tech

Nov 1, 2023 · Artificial Intelligence

BOMGraph: Boosting Multi-Scenario E-commerce Search with a Unified Graph Neural Network

BOMGraph introduces a unified heterogeneous graph neural network that jointly models text, image, and similar‑item search across multiple e‑commerce scenarios, using meta‑path‑guided attention, disentangled scenario‑specific and shared embeddings, and contrastive learning to alleviate sample sparsity, achieving consistent offline and online performance gains.

contrastive learninge-commercegraph neural network

0 likes · 13 min read

BOMGraph: Boosting Multi-Scenario E-commerce Search with a Unified Graph Neural Network

Alimama Tech

Apr 19, 2023 · Artificial Intelligence

Potential Generalized Second Price (PGSP) Auction for Augmented Advertising

This paper proposes a two‑stage Potential Generalized Second Price auction for augmented ads, ranking guide ads by expected welfare from their linked second‑step ads, shifting billing to the second click to eliminate free‑riding, and demonstrates via offline and online experiments on Taobao that it boosts click‑through, revenue, and GMV while lowering CPC.

Machine Learningadvertisingauction

0 likes · 16 min read

Potential Generalized Second Price (PGSP) Auction for Augmented Advertising

Alimama Tech

Sep 21, 2022 · Artificial Intelligence

EXTR: Click-Through Rate Prediction with Externalities in E-Commerce Sponsored Search

The paper introduces EXTR, a Transformer‑based CTR prediction model that jointly encodes diverse externalities from surrounding organic results and ads and infers missing ad placements via a Potential Allocation Generator, achieving superior AUC, COPC and LogLoss on Taobao data and deployment in Alibaba’s advertising system.

CTR predictionExternalitiesMachine Learning

0 likes · 11 min read

EXTR: Click-Through Rate Prediction with Externalities in E-Commerce Sponsored Search

Alimama Tech

Jun 22, 2022 · Artificial Intelligence

Learning Pixel-Level Distinctions for Video Highlight Detection

The Alibaba Mom Creative & Video Platform team introduces PLD‑VHD, a pixel‑level distinction learning framework that uses a 3D CNN encoder‑decoder with temporal and saliency modules to detect highlights, achieving state‑of‑the‑art results on public benchmarks and a 4,724‑video e‑commerce dataset, and boosting ad revenue through precise clipping and cropping.

Encoder-Decodercomputer visione-commerce

0 likes · 11 min read

Learning Pixel-Level Distinctions for Video Highlight Detection

Alimama Tech

Feb 23, 2022 · Artificial Intelligence

Meta‑Network Based Multi‑Scenario Multi‑Task Model (M2M) for Alibaba Advertising Merchants

The paper introduces a Meta‑Network based Multi‑Scenario Multi‑Task (M2M) model for Alibaba’s advertising merchants, combining a transformer‑driven backbone with scene‑aware meta‑learning modules to jointly predict spend, clicks and activity across diverse ad scenarios, achieving up to 27 % error reduction offline and over 2 % lifts in merchant activity and ARPU online.

Alibabaadvertisinge-commerce

0 likes · 14 min read

Meta‑Network Based Multi‑Scenario Multi‑Task Model (M2M) for Alibaba Advertising Merchants

Alimama Tech

Dec 15, 2021 · Artificial Intelligence

Scalable Multi-View Ad Retrieval (SMAD): A Graph-Based Framework for E-commerce Advertising

SMAD is a scalable graph‑based ad retrieval framework for e‑commerce search that builds a heterogeneous Query‑Item‑Ad graph, learns multi‑view embeddings with a parallel deep neural network and attention, employs category‑aware sampling for efficient distributed training, and delivers significant gains in offline relevance and online CTR, RPM, and PVR.

Ad Retrievalattentiondistributed training

0 likes · 17 min read

Scalable Multi-View Ad Retrieval (SMAD): A Graph-Based Framework for E-commerce Advertising

Xiaohongshu Tech REDtech

Sep 22, 2022 · Big Data

Graph Computing Algorithms for E‑commerce Anti‑Fraud and Reselling Bot Detection

The Xiaohongshu anti‑fraud team combats sophisticated same‑group and crowdsourced reselling bots by ingesting real‑time transaction streams into a Nebula Graph, using multi‑hop sub‑graph sampling, label propagation, and modularity‑based community detection to identify suspicious clusters, update risk pools, and enforce personalized purchase‑limit rules.

anti-fraudbig databot detection

0 likes · 9 min read

Graph Computing Algorithms for E‑commerce Anti‑Fraud and Reselling Bot Detection

Tencent Cloud Developer

Nov 13, 2024 · Backend Development

Design and Implementation of an E‑commerce Coupon System

The article details a high‑concurrency e‑commerce coupon system that separates creation and distribution, uses Redis‑Lua atomic stock deduction with asynchronous replenishment and coupon generation, employs a lightweight distributed‑transaction table, and adds bucket and batch optimizations to safely handle tens of thousands of TPS.

Redis Luabackend developmentcoupon system

0 likes · 11 min read

Design and Implementation of an E‑commerce Coupon System

vivo Internet Technology

Apr 12, 2023 · Backend Development

vivo Transaction Platform: Architecture Design and Key Technical Solutions

The article details vivo’s transition from a monolithic mall to a micro‑service transaction platform, outlining a multi‑tenant architecture with ShardingSphere‑sharded MySQL, Snowflake IDs, Elasticsearch search, configurable state machines, generic delayed tasks, Seata and local‑message distributed transactions, plus high‑availability safeguards, emphasizing pragmatic solution selection.

Multi-Tenant ArchitectureState Machinedatabase sharding

0 likes · 11 min read

vivo Transaction Platform: Architecture Design and Key Technical Solutions

vivo Internet Technology

Mar 8, 2023 · Backend Development

Design and Architecture of Vivo E‑commerce Inventory System

The article details Vivo Mall’s inventory system evolution from a tightly‑coupled service to a layered architecture handling multiple stock types, high‑concurrency flash‑sale deductions, duplicate‑deduction safeguards, hotspot mitigation, and CDC‑based synchronization, outlining current capabilities and future unified management goals.

Distributed LockInventory ManagementRedis

0 likes · 17 min read

Design and Architecture of Vivo E‑commerce Inventory System

vivo Internet Technology

Mar 23, 2022 · Frontend Development

Product Middle Platform Front-end Practice: Micro-frontend Architecture and Visualization Technology Implementation

The article details how an e‑commerce product middle platform’s front‑end employs visualization technology, a uni‑render approach that shares a Vuex store between an iframe and its parent via a sandboxed Vue instance, and a qiankun‑based micro‑frontend architecture, while addressing cross‑domain and editor integration challenges.

Vuexe-commercefrontend architecture

0 likes · 13 min read

Product Middle Platform Front-end Practice: Micro-frontend Architecture and Visualization Technology Implementation

vivo Internet Technology

Aug 25, 2021 · Backend Development

Design and Implementation of a Time‑Travel Module for E‑commerce Promotion Validation

The team built a whitelist‑based time‑travel module that overrides the system clock for selected operators, letting them preview future promotional prices in Vivo’s e‑commerce flow without creating real orders, by propagating an openId context through Dubbo filters and replacing System.currentTimeMillis() with a custom TimeTravelUtil.

BackendDubboJava

0 likes · 12 min read

Design and Implementation of a Time‑Travel Module for E‑commerce Promotion Validation

vivo Internet Technology

Aug 18, 2021 · Backend Development

Design and Implementation of Vivo Mall Promotion Pricing Engine

The article details Vivo Mall’s new promotion pricing engine, which replaces duplicated site‑level logic with a layered model (product, shop, platform) that supports configurable stacking, processes discounts through three calculation stages, and uses a meta‑driven rule engine to flexibly interpret JSON promotion templates, ensuring extensible, stable pricing functionality.

Promotionbackend developmentdiscount model

0 likes · 12 min read

Design and Implementation of Vivo Mall Promotion Pricing Engine

vivo Internet Technology

Dec 2, 2020 · Backend Development

Evolution of Vivo Official Mall: From Monolithic to Service‑Oriented Architecture and Globalization

The article chronicles Vivo’s official mall transformation from a 2015 monolithic Java MVC system to a service‑oriented architecture with independent activity, product, coupon, and order services, later expanding to consignment, CPS, and promotion subsystems, and finally adding multi‑language, multi‑timezone, and multi‑region capabilities for global markets.

backend developmente-commerceinternationalization

0 likes · 14 min read

Evolution of Vivo Official Mall: From Monolithic to Service‑Oriented Architecture and Globalization

Youzan Coder

Aug 2, 2021 · Backend Development

Design and Architecture of the Return Shipping Fee Insurance Service in Youzan E‑commerce Platform

The article details Youzan’s Return Shipping Fee insurance service, explaining its consumer and merchant benefits, end‑to‑end workflow, integrated risk‑control mechanisms, insurance‑product specifications, and a layered technical architecture—business, domain, component, and dependency services built with domain‑driven design—to enable scalable, reusable e‑commerce insurance solutions.

Backend Architecturedomain-driven designe-commerce

0 likes · 9 min read

Design and Architecture of the Return Shipping Fee Insurance Service in Youzan E‑commerce Platform

Youzan Coder

Nov 2, 2018 · Information Security

Real-Time Financial Loss Prevention System Design for Payment Platforms

YouZan built a side‑car, real‑time loss‑prevention system that monitors business events and database binlogs, validates information flow and fund balance, enforces idempotency and manual‑change checks, and uses refund‑settlement‑cash‑out circuit‑breakers to automatically detect and stop financial loss, achieving successful fault prevention after six months.

Payment SystemReal-time Monitoringbackend-system

0 likes · 7 min read

Real-Time Financial Loss Prevention System Design for Payment Platforms

Baidu Geek Talk

Mar 30, 2022 · Backend Development

Baidu Guarantee Platform: Architecture and Implementation Practices

The Baidu Guarantee platform provides a three‑layer architecture—data, basic services, and core systems—to enable merchants across Baidu’s ecosystem to enroll, disclose credit, access click records, and process compensation claims, delivering millisecond‑scale query performance and improving conversion through visible guarantee badges.

Backend ArchitectureBaiduPlatform Development

0 likes · 16 min read

Baidu Guarantee Platform: Architecture and Implementation Practices

Baidu Geek Talk

Jul 7, 2021 · Backend Development

Design and Implementation of Baidu's Commodity Promotion System

The article details Baidu’s 2020‑built commodity promotion system for Baijiahao and live‑stream e‑commerce, linking merchants with authors/streamers through CPS billing, three user interfaces and five core services, and highlights technical choices such as dynamic‑library tracking, asynchronous batch writes, and a high‑cohesion, low‑coupling architecture requiring cross‑team collaboration.

Baidu ecosystemCPSDynamic Library

0 likes · 15 min read

Design and Implementation of Baidu's Commodity Promotion System

NetEase Yanxuan Technology Product Team

Apr 10, 2023 · Artificial Intelligence

Intelligent Reach System: Modeling, Decision Making, and Optimization for E‑commerce

The paper presents an intelligent reach system for e‑commerce that automatically selects audience, timing, channel, welfare and creative content using user, content and decision models—including XGBoost churn predictions, NLP‑generated copy, Bayesian CTR estimation and linear‑programming optimization—resulting in a 17.4 % rise in paying users and a 5 % revenue boost over manual methods.

Intelligent ReachMachine Learningdecision optimization

0 likes · 20 min read

Intelligent Reach System: Modeling, Decision Making, and Optimization for E‑commerce