Author

Alimama Tech

Official Alimama tech channel, showcasing all of Alimama's technical innovations.

250

Articles

Likes

991

Views

Comments

Latest from Alimama Tech

100 recent articles max

Alimama Tech

Dec 7, 2023 · Industry Insights

How Privacy Computing Enables Cross‑Domain Ad Tracking and Asset Analysis

The 2023 Big Data “Galaxy” case competition highlighted Alibaba Mama and Jiahe Tech’s privacy‑computing based cross‑domain advertising tracking and whole‑domain asset analysis as an outstanding example, detailing the Secure Data Hub platform, its use of multi‑party secure computation, federated learning, differential privacy, and the resulting improvements in data flow, compliance, and marketing efficiency.

Data SecurityPrivacy Computingadvertising analytics

0 likes · 6 min read

How Privacy Computing Enables Cross‑Domain Ad Tracking and Asset Analysis

Alimama Tech

Nov 28, 2023 · Artificial Intelligence

Evolution of Alibaba's AI-Driven Advertising Decision Technologies

The article traces Alibaba’s Alimama platform from classic control‑based bidding through linear programming and reinforcement‑learning approaches to generative‑AI‑driven strategies, detailing how deep‑learning models, offline and sustainable online RL frameworks, and large‑language‑model‑based bidding reshape automated auctions, fairness, and scalability in e‑commerce advertising.

AIAuction Designauto-bidding

0 likes · 38 min read

Evolution of Alibaba's AI-Driven Advertising Decision Technologies

Alimama Tech

Nov 22, 2023 · Artificial Intelligence

Robust Link Prediction under Bilateral Edge Noise via Robust Graph Information Bottleneck (RGIB)

The paper introduces Robust Graph Information Bottleneck (RGIB), a framework that jointly mitigates bilateral edge noise in link prediction by decoupling topology, label, and representation information, with two variants (RGIB‑SSL and RGIB‑REP) that achieve up to 12.9% AUC gains on benchmarks and have already boosted click‑through‑rate robustness and revenue in Alibaba’s advertising system.

Graph Neural NetworksRGIBbilateral noise

0 likes · 13 min read

Robust Link Prediction under Bilateral Edge Noise via Robust Graph Information Bottleneck (RGIB)

Alimama Tech

Nov 15, 2023 · Industry Insights

How Alibaba’s Data‑Driven Marketing Drove Record‑Breaking Double 11 Results

The 2023 Tmall Double 11 campaign saw Alibaba’s data‑intelligent tools boost market share to 63.14%, lift GMV by over 6%, and help more than 200 brands achieve double‑digit growth through platforms like ShowMAX, Super Live, and Wanxiang AI, illustrating the power of integrated digital marketing in e‑commerce.

AlibabaData AnalyticsDigital marketing

0 likes · 11 min read

How Alibaba’s Data‑Driven Marketing Drove Record‑Breaking Double 11 Results

Alimama Tech

Nov 15, 2023 · Artificial Intelligence

Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking (HC²)

The HC² framework enhances multi‑scenario ad ranking by jointly applying a generalized contrastive loss on shared representations and an individual contrastive loss on scenario‑specific layers, using label‑aware positive sampling, diffusion‑noise negative sampling, and inverse‑similarity weighting, achieving consistent offline gains and up to 2.5% CVR and 3.7% GMV improvements in Alibaba’s live system.

ad rankingcontrastive learningmachine learning

0 likes · 16 min read

Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking (HC²)

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.

Graph Neural Networkcontrastive learninge-commerce

0 likes · 13 min read

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

Alimama Tech

Oct 18, 2023 · Artificial Intelligence

Technical Challenges and Directions for Large‑Model Applications in E‑commerce

Taobao Group’s ten large‑model challenges target e‑commerce AI by demanding domain‑specific pre‑training, multi‑step reasoning, extended context handling, factual reliability, intelligent tool orchestration, robust retrieval integration, fuzzy‑intent tool selection, scalable multi‑objective RLHF, improved query rewriting, and knowledge‑driven recommendation.

RLHFe-commerceknowledge hallucination

0 likes · 16 min read

Technical Challenges and Directions for Large‑Model Applications in E‑commerce

Alimama Tech

Oct 18, 2023 · Artificial Intelligence

Incentive-Compatible Auction Mechanisms for Automated Bidding with Budget and ROI Constraints

The paper presents incentive‑compatible, individually rational auction mechanisms for automated ad bidding where advertisers report private budget and ROI constraints, characterizes feasible allocation and payment rules via monotone budget functions, introduces a personalized ranking‑score auction using a “key ROI,” and demonstrates through experiments that the design achieves near‑optimal welfare and revenue while ensuring truthful reporting.

Online AdvertisingROIauction theory

0 likes · 17 min read

Incentive-Compatible Auction Mechanisms for Automated Bidding with Budget and ROI Constraints

Alimama Tech

Oct 11, 2023 · Artificial Intelligence

How Minimax Regret Optimization Tackles Black‑Box Adversarial Bidding Constraints

This article explains how the Alibaba‑Mama team addresses constrained ROI bidding in a black‑box adversarial environment by introducing a Minimax Regret Optimization framework that aligns training and test distributions, builds a causal world model, and demonstrates robust performance on synthetic and real‑world ad auctions.

Online Advertisingadversarial biddingconstrained optimization

0 likes · 14 min read

How Minimax Regret Optimization Tackles Black‑Box Adversarial Bidding Constraints

Alimama Tech

Sep 20, 2023 · Artificial Intelligence

CCF C³ Forum: AI Technology Driving Business Transformation

The 23rd CCF C³ Forum, organized by Alibaba’s Alimama and the CCF CTO Club, examined how large‑model AI is reshaping intelligent business technology, from data‑driven to knowledge‑driven approaches, enhancing e‑commerce with smarter search, personalized recommendations, content creation, and guiding merchants on future AI‑native strategies.

AI technologyAI-native businessData Intelligence

0 likes · 8 min read

CCF C³ Forum: AI Technology Driving Business Transformation