Author

Alimama Tech

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

247

Articles

Likes

770

Views

Comments

Latest from Alimama Tech

100 recent articles max

Alimama Tech

Mar 6, 2024 · Artificial Intelligence

Risk-Constrained Budget Pacing for Guaranteed Display Advertising

The paper introduces a percentile‑based risk‑constrained budget‑pacing algorithm for guaranteed‑delivery display ads that ties the pacing rate to the dual‑bidding factor’s percentile, preserving volume guarantees while preventing rapid spend bursts, using adaptive transforms, gradient clipping and stop‑loss controls, and demonstrates smoother spend and performance gains in large‑scale A/B tests.

Online Optimizationalgorithmbudget pacing

0 likes · 16 min read

Risk-Constrained Budget Pacing for Guaranteed Display Advertising

Alimama Tech

Feb 29, 2024 · Industry Insights

How Alibaba’s Secure Data Hub Powers Cross‑Domain Advertising Tracking with Privacy‑Preserving Computation

This article details how Alibaba Mama’s Secure Data Hub (SDH) leverages multi‑party computation, federated learning, and differential privacy to break data silos in advertising, enabling secure cross‑domain user tracking, full‑domain asset analysis, and rapid, privacy‑compliant marketing insights.

MPCPrivacy Computingadvertising analytics

0 likes · 18 min read

How Alibaba’s Secure Data Hub Powers Cross‑Domain Advertising Tracking with Privacy‑Preserving Computation

Alimama Tech

Jan 24, 2024 · Artificial Intelligence

Hierarchical Masked 3D Diffusion Model for Video Outpainting

The Hierarchical Masked 3D Diffusion Model (M3DDM) introduces a masking‑based training strategy and cross‑attention with global video clips to achieve temporally consistent video outpainting, while a hybrid coarse‑to‑fine inference pipeline mitigates error accumulation, delivering state‑of‑the‑art results and deployment in Alibaba’s creative center.

3D diffusionACM MM2023AI video processing

0 likes · 12 min read

Hierarchical Masked 3D Diffusion Model for Video Outpainting

Alimama Tech

Jan 10, 2024 · Artificial Intelligence

Advances in Automated Bidding and Auction Mechanisms for Online Advertising

Advances in automated bidding for online ads have progressed from classic control and linear programming to reinforcement‑learning pipelines, offline and sustainable online RL, and finally generative‑model approaches, each enhancing decision strength, adaptability, and fairness while addressing simulation gaps, multi‑objective constraints, and real‑time efficiency.

Auction Designautomated biddinggenerative AI

0 likes · 25 min read

Advances in Automated Bidding and Auction Mechanisms for Online Advertising

Alimama Tech

Jan 3, 2024 · Artificial Intelligence

Alimama's 2023 Technical Highlights in AI and Advertising

Alimama’s 2023 newsletter details its AI‑driven advertising breakthroughs, from reinforcement‑learning bidding models and generative pricing (AIGB) to advanced auction mechanisms, historical‑data‑enhanced conversion‑rate prediction, and automated creative generation, highlighting related KDD/MM research papers and production‑level engineering implementations.

AIAlimamaBig Data

0 likes · 5 min read

Alimama's 2023 Technical Highlights in AI and Advertising

Alimama Tech

Dec 21, 2023 · Information Security

Alibaba Mama Secure Data Hub: Cloud Architecture and Privacy-Preserving Advertising

Alibaba Mama’s Secure Data Hub delivers a privacy‑enhanced clean‑room for advertising by combining multi‑party computation, federated learning and differential privacy with encrypted operators on a Flink engine, offering cloud‑agnostic, scalable deployment that enables cross‑domain analytics while protecting raw user data and boosting ROI.

Data SecurityPrivacy Computingadvertising analytics

0 likes · 13 min read

Alibaba Mama Secure Data Hub: Cloud Architecture and Privacy-Preserving Advertising

Alimama Tech

Dec 14, 2023 · Artificial Intelligence

AI-Driven Content Risk Control: System Evolution and Optimization at Alibaba

Alibaba Mom’s AI‑driven content risk platform has evolved from simple rule‑matching to a data‑centric, serverless architecture that integrates large‑model acceleration, decision‑tree compilation, high‑throughput vector retrieval and elastic word‑matching, delivering sub‑100 ms text and sub‑1 s image moderation while remaining stable during peak promotional traffic.

AIDevOpscontent moderation

0 likes · 25 min read

AI-Driven Content Risk Control: System Evolution and Optimization at Alibaba

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 DesignMachine Learning

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.

RGIBRobustnessbilateral noise

0 likes · 13 min read

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