e-commerce | BestHub

DaTaobao Tech

Mar 12, 2025 · Artificial Intelligence

Multimodal Automatic Layout Generation for E-commerce

The project develops a multimodal automatic layout generation system for e‑commerce by fine‑tuning the qwen‑vl‑7b vision‑language model with LoRA on poster and Taobao image‑layout data, employing diffusion‑based image generation and coordinate‑prediction methods to produce structured layouts that power poster, marketing image, and video‑cover creation with over 90% adoption, while exploring multi‑image, style‑aware, and iterative refinement extensions.

LLMLayout Generationdiffusion

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Multimodal Automatic Layout Generation for E-commerce

DaTaobao Tech

Feb 24, 2025 · Artificial Intelligence

AIGC Video Generation Techniques for E‑commerce: Lip‑Sync, Head/Body Driving, and Business Applications

The article surveys recent AIGC video generation advances for Taobao e‑commerce, detailing lip‑sync models like Wav2Lip and MuseTalk, head‑driven systems such as Hallo and EchoMimic, body‑driven pipelines including AnimateAnyone and Tango, and a four‑stage production workflow that boosts click‑through rates and enables virtual try‑on.

AIGCdeep learninge-commerce

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AIGC Video Generation Techniques for E‑commerce: Lip‑Sync, Head/Body Driving, and Business Applications

DaTaobao Tech

Nov 17, 2023 · Artificial Intelligence

Marketing Technology Architecture and Challenges at Taobao

Taobao’s marketing technology team built a platform‑centric architecture that separates merchant acquisition, ad placement, benefits, and scene construction, enabling 80‑90% feature reuse while tackling challenges such as massive merchant onboarding, real‑time rule validation, price consistency, ultra‑high‑concurrency lottery draws, low‑end device rendering, and AI‑driven asset creation.

AIHigh AvailabilityMarketing

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Marketing Technology Architecture and Challenges at Taobao

DaTaobao Tech

Apr 24, 2023 · Artificial Intelligence

Daily Good Shop: Two‑Stage Card Ranking and Multi‑Task Modeling for E‑commerce Recommendations

Daily Good Shop improves e‑commerce recommendations by first ranking products with long‑term user behavior models, assembling top items into cards, then ranking those cards using a shared‑bottom multi‑task network that jointly predicts click, subscription and lead‑IPV, and finally re‑ranking card sequences via beam‑search, yielding over 2 % more clicks, 34 % more subscriptions, 33 % more lead‑IPV and 22 % longer dwell time.

Rankinge-commercemachine learning

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Daily Good Shop: Two‑Stage Card Ranking and Multi‑Task Modeling for E‑commerce Recommendations

DaTaobao Tech

Apr 7, 2023 · Artificial Intelligence

Two‑Level Store Recommendation and Experience Optimization in Taobao’s Daily Good Store

Taobao’s Daily Good Store tackles a two‑level recommendation challenge by jointly ranking shops and their items through a dual‑link system enhanced with a novel scatter‑score metric, personalized category scattering via Earth Mover’s Distance, beam‑search optimization, and UI upgrades, delivering higher efficiency, relevance, diversity, and ecosystem health.

beam searche-commercerecommendation system

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Two‑Level Store Recommendation and Experience Optimization in Taobao’s Daily Good Store

DaTaobao Tech

Jan 6, 2023 · Artificial Intelligence

Two‑Stage Ranking Optimization in E‑commerce Search: From Coarse to Fine Ranking

The paper presents a two‑stage e‑commerce search framework where the coarse‑ranking stage is redesigned with multi‑objective optimization, expanded negative sampling, and listwise distillation—guided by a new global transaction hitrate metric—enabling it to surpass fine‑ranking on large candidate sets and boost overall GMV by about one percent.

coarse rankinge-commercefine ranking

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Two‑Stage Ranking Optimization in E‑commerce Search: From Coarse to Fine Ranking

Alimama Tech

Nov 9, 2022 · Artificial Intelligence

Graph-based Weakly Supervised Framework for Semantic Relevance Learning in E-commerce

The paper introduces a graph‑based weakly supervised contrastive learning framework that uses heterogeneous user‑behavior graphs, e‑commerce‑specific augmentations, and a hybrid fine‑tuning/transfer learning strategy to improve semantic relevance matching between queries and product titles, achieving significant gains on a large‑scale Taobao dataset.

Weak Supervisioncontrastive learninge-commerce

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Graph-based Weakly Supervised Framework for Semantic Relevance Learning in E-commerce

DaTaobao Tech

Mar 28, 2022 · Backend Development

Designing an Extensible Content Delivery Pipeline for E‑commerce

The article presents a modular, extensible content‑delivery pipeline for e‑commerce—comprising datasource, transfer, filter, sorter, completer, validator, factory and iterator nodes—implemented in Java, with JSON‑driven filter schemas, to simplify complex, low‑latency content handling, improve flexibility, and ease operations across evolving business requirements.

Content Deliveryarchitecturebackend

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Designing an Extensible Content Delivery Pipeline for E‑commerce

DeWu Technology

Nov 22, 2020 · Backend Development

Evolution of Transaction System Architecture at DeWu

Alan, a twelve-year veteran of startup and e-commerce development, outlines DeWu’s transaction system evolution through five architectural eras—from a single ECS-Redis setup in 2017 to the modern, Java-based, Five-Color-Stone refactor that migrated 27 billion records, redesigned 700+ APIs, and now reliably powers major sales events while continuing protocol, gateway, monitoring, and compliance optimizations.

JavaMigrationPHP

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Evolution of Transaction System Architecture at DeWu