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e‑commerce AI

13 articles · Page 1 of 1
Alimama Tech
Alimama Tech
May 28, 2026 · Artificial Intelligence

13 KDD'26 Papers from Taobao: Scaling Laws, World Models and New AI Paradigms

The article highlights thirteen Taobao‑group papers accepted at KDD 2026, covering large‑model scaling laws, end‑to‑end generative recommendation, CTR prediction, interactive recommendation agents, LLM‑based pricing, robust auto‑bidding, two‑stage auctions, generative world models, multi‑attribution conversion, uplift modeling and long‑term causal estimation for e‑commerce systems.

CTR PredictionKDD 2026Recommendation Systems
0 likes · 29 min read
13 KDD'26 Papers from Taobao: Scaling Laws, World Models and New AI Paradigms
Amazon Cloud Developers
Amazon Cloud Developers
Dec 31, 2025 · Artificial Intelligence

How Monus AI Cuts Search Costs by 34% with Amazon Bedrock AgentCore

Monus AI leverages Amazon Bedrock AgentCore and a five‑level agent architecture to recognize consumer decision stages with 94% accuracy, boost data‑processing speed threefold, slash overall processing cost by 80%, and reduce response time by 60%, fundamentally reshaping e‑commerce AI search.

AgentCoreAmazon BedrockMonus AI
0 likes · 10 min read
How Monus AI Cuts Search Costs by 34% with Amazon Bedrock AgentCore
Alimama Tech
Alimama Tech
Oct 15, 2025 · Artificial Intelligence

How Alibaba’s Taobao Starry Model Delivers Precise, Consistent E‑commerce Image Edits

Alibaba’s Taobao Starry Image Editing model tackles the e‑commerce challenge of maintaining visual consistency by introducing a high‑fidelity, plug‑in architecture, a million‑scale consistency dataset, and multi‑stage multilingual training, enabling precise, controllable edits without altering product layout or background.

Data Engineeringconsistencye‑commerce AI
0 likes · 10 min read
How Alibaba’s Taobao Starry Model Delivers Precise, Consistent E‑commerce Image Edits
JD Tech Talk
JD Tech Talk
Sep 9, 2025 · Artificial Intelligence

How JD’s Dynamic Re‑Ranking Model Boosted Search Relevance and Won SIGIR 2024

The author recounts how, by modeling user intent with a multi‑layer Gaussian‑based PODM‑MI framework and addressing a novel ‘sand‑glass’ bottleneck in RQ‑VAE semantic identifiers, JD’s search ranking achieved significant UCVR gains, annual order increases of over ten million, and a SIGIR 2024 paper acceptance.

Recommendation SystemsSIGIRdistribution modeling
0 likes · 8 min read
How JD’s Dynamic Re‑Ranking Model Boosted Search Relevance and Won SIGIR 2024
JD Cloud Developers
JD Cloud Developers
Sep 9, 2025 · Artificial Intelligence

How JD’s PODM‑MI Framework Revolutionized E‑commerce Search Ranking

This article recounts a JD engineer’s journey from theory to practice, detailing the development of the PODM‑MI re‑ranking framework, its three‑layer distribution‑based design, the discovery of a novel SID bottleneck, and the resulting multi‑million‑order impact validated at SIGIR 2024.

Re‑rankingSIGIRdistribution modeling
0 likes · 8 min read
How JD’s PODM‑MI Framework Revolutionized E‑commerce Search Ranking
Youzan Coder
Youzan Coder
Aug 4, 2025 · Artificial Intelligence

How to Quantify a “Good Image” for AI‑Generated E‑Commerce Graphics?

This article explains how to define and objectively evaluate the quality of AI‑generated product images for e‑commerce by decoupling assessment from the generation pipeline, selecting quantifiable metrics such as CLIPScore and Inception Score, building a lightweight evaluation system, cleaning and labeling data, and validating the approach with real‑world business and model datasets.

AI image evaluationCLIPScoreInception Score
0 likes · 26 min read
How to Quantify a “Good Image” for AI‑Generated E‑Commerce Graphics?
Alimama Tech
Alimama Tech
Apr 17, 2025 · Artificial Intelligence

PosterMaker: High-Quality Product Poster Generation with Accurate Text Rendering

PosterMaker leverages a ControlNet‑based TextRenderNet with character‑level visual features and a reward‑driven foreground‑extension detector to generate high‑quality product posters that accurately render Chinese text (over 90% sentence accuracy) while preserving product fidelity, and is already deployed in Alibaba’s AI creative tool.

Diffusion ModelsPoster Generationcharacter-level features
0 likes · 18 min read
PosterMaker: High-Quality Product Poster Generation with Accurate Text Rendering
Baobao Algorithm Notes
Baobao Algorithm Notes
Mar 7, 2024 · Industry Insights

What Do Two AI Titans Say About AGI, Open‑Source Models, and Real‑World Applications?

The article summarizes interviews with AI entrepreneur Yang Zhilin and investor Zhu Xiaohu, compares their opposing views on AGI, open‑source versus closed models, and investment strategies, then analyzes why e‑commerce AI assistants struggle, outlines viable AI scenarios, defines model capability boundaries, and reviews recent industry trends.

AGIData RequirementsModel Capability
0 likes · 21 min read
What Do Two AI Titans Say About AGI, Open‑Source Models, and Real‑World Applications?
Youzan Coder
Youzan Coder
Jul 11, 2022 · Artificial Intelligence

How Contrastive Learning Revolutionizes Product Term Prediction in E‑commerce

By leveraging contrastive learning and large‑scale click‑through data, the article details a dual‑tower model that encodes product titles and queries, explains loss functions, batch‑negative sampling, distributed training tricks, and demonstrates how this approach outperforms traditional NER for product term and category prediction.

InfoNCEcontrastive learningdistributed training
0 likes · 16 min read
How Contrastive Learning Revolutionizes Product Term Prediction in E‑commerce
Alibaba Cloud Developer
Alibaba Cloud Developer
Dec 3, 2019 · Artificial Intelligence

How Alibaba Detects ‘Disgusting’ Images on Taobao with AI

This article describes Alibaba's AI system for automatically filtering nauseating product images on Taobao, covering challenges such as cold‑start, class imbalance, and diverse visual features, and detailing solutions like semi‑supervised learning, active learning, OHEM‑cascade, attention mechanisms, and the resulting business impact.

Active LearningAttention MechanismSemi-supervised Learning
0 likes · 15 min read
How Alibaba Detects ‘Disgusting’ Images on Taobao with AI
Alibaba Cloud Developer
Alibaba Cloud Developer
Feb 13, 2019 · Artificial Intelligence

How Graph Neural Networks are Revolutionizing E‑commerce Recommendations

This article explores how cognitive computing combined with graph neural networks and text generation enables large‑scale interest mining, interpretable embeddings, and multi‑modal recommendation in e‑commerce, outlining platform implementations, explainable methods, and future directions for AI‑driven consumer engagement.

Graph Neural NetworksRecommendation Systemscognitive computing
0 likes · 9 min read
How Graph Neural Networks are Revolutionizing E‑commerce Recommendations
Alibaba Cloud Developer
Alibaba Cloud Developer
Jun 21, 2017 · Artificial Intelligence

How Alibaba’s AI Powers Machine Reading Comprehension in E‑Commerce

Alibaba’s AI assistant “Ali Xiaomì” is exploring machine reading comprehension to automatically understand e‑commerce rules and product information, leveraging deep learning models and datasets such as SQuAD, bAbI, and MCTest, while addressing challenges of long texts, answer granularity, and real‑world deployment.

deep learninge‑commerce AImachine reading comprehension
0 likes · 18 min read
How Alibaba’s AI Powers Machine Reading Comprehension in E‑Commerce