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Alimama Tech

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

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Recent Articles

Latest from Alimama Tech

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Alimama Tech
Alimama Tech
Apr 9, 2026 · Artificial Intelligence

How LLM‑Powered AI Transforms Taobao Product Selection: From DeepSearch to Agentic RL

This article analyzes the challenges of traditional product selection on Taobao and presents an LLM‑driven solution that combines multi‑round online search, DeepSearch vs. WideSearch strategies, sample construction, SFT and RL training, and shows experimental results that improve relevance, diversity, and efficiency of the selected product set.

LLMSearch Optimizatione-commerce
0 likes · 20 min read
How LLM‑Powered AI Transforms Taobao Product Selection: From DeepSearch to Agentic RL
Alimama Tech
Alimama Tech
Mar 26, 2026 · Industry Insights

How Alibaba’s Large User Model (LUM) Boosted CTR by 4.5% and Scaled to Billions of Parameters

The article analyzes the evolution from traditional modular recommendation models to a generative Large User Model (LUM), detailing its three‑stage paradigm, tokenization, training objectives, scaling‑law findings, offline and online experiments, and the AI‑infra innovations that enabled a 4.5% CTR lift in production.

CTR predictionRecommendation Systemsgenerative modeling
0 likes · 18 min read
How Alibaba’s Large User Model (LUM) Boosted CTR by 4.5% and Scaled to Billions of Parameters
Alimama Tech
Alimama Tech
Mar 5, 2026 · Artificial Intelligence

How BiCB Revolutionizes Real‑Time Bidding for Live Ads with Light‑Weight Optimization

This article presents the BiCB (Binary Constrained Bidding) algorithm, a lightweight auto‑bidding solution for live advertising that combines optimal bidding formulas derived from linear‑programming dual analysis with traffic‑prediction statistics to achieve near‑optimal performance under budget and CPC constraints.

Online OptimizationTraffic Predictionauto-bidding
0 likes · 17 min read
How BiCB Revolutionizes Real‑Time Bidding for Live Ads with Light‑Weight Optimization
Alimama Tech
Alimama Tech
Feb 5, 2026 · Artificial Intelligence

Can Few-Shot Reinforcement Learning Supercharge Budget-Constrained Auto-Bidding?

This paper introduces ABPlanner, a few‑shot, context‑aware budget planner that enhances budget‑constrained auto‑bidding in online advertising by hierarchically allocating budgets across short‑term stages and training a sequential decision‑maker with deep reinforcement learning, achieving significant gains in simulated and real‑world A/B tests.

Few‑Shot Learningauto-biddingbudget allocation
0 likes · 13 min read
Can Few-Shot Reinforcement Learning Supercharge Budget-Constrained Auto-Bidding?
Alimama Tech
Alimama Tech
Jan 27, 2026 · Artificial Intelligence

How Alibaba’s “Yuanfang” Agent System Enables Reliable AI Coding for Complex Ad Engines

This article details Alibaba‑Mama’s AI‑coding initiative, describing how a decoupled CommonAds architecture and a multi‑agent framework called “Yuanfang” transform large‑scale advertising engine development by integrating AI‑friendly design, context‑driven specifications, and automated code‑generation, testing, and validation pipelines.

AI codingCommonAdsIFLOW‑CLI
0 likes · 16 min read
How Alibaba’s “Yuanfang” Agent System Enables Reliable AI Coding for Complex Ad Engines
Alimama Tech
Alimama Tech
Jan 14, 2026 · Backend Development

How Graph-as-a-Service Revolutionizes Alibaba’s Ad Engine with Serverless Architecture

This article explains how Alibaba Mama’s advertising engine adopted a Serverless, Graph‑as‑a‑Service (GaaS) model to unify budgeting across multiple ad lands, align development‑to‑delivery granularity with graph structures, and dramatically improve testing, experimentation, and production release efficiency.

AdTechArchitectureGaaS
0 likes · 17 min read
How Graph-as-a-Service Revolutionizes Alibaba’s Ad Engine with Serverless Architecture
Alimama Tech
Alimama Tech
Jan 7, 2026 · Artificial Intelligence

Can Text‑Driven Vibe Coding Tame Complex AI Infra? A Deep Dive into GPU Time‑Sharing for Agentic RL

This article examines the limitations of Vibe Coding for large AI infrastructure, proposes a text‑driven, document‑centric workflow, and presents a time‑multiplexed GPU scheduling solution that dramatically improves rollout throughput and reduces timeouts in large‑scale Agentic RL training.

Agentic RLDesign DocumentsGPU Scheduling
0 likes · 21 min read
Can Text‑Driven Vibe Coding Tame Complex AI Infra? A Deep Dive into GPU Time‑Sharing for Agentic RL
Alimama Tech
Alimama Tech
Jan 7, 2026 · Artificial Intelligence

How Bid2X Revolutionizes Online Ad Bidding with a Universal Foundation Model

Bid2X introduces a bidding‑environment foundation model that unifies heterogeneous ad‑bidding data, leverages variable and time attention mechanisms, handles zero‑inflated distributions, and demonstrates superior offline performance across eight large‑scale datasets and significant online gains in GMV and ROI when deployed on a major e‑commerce platform.

Advertisingbiddingfoundation model
0 likes · 20 min read
How Bid2X Revolutionizes Online Ad Bidding with a Universal Foundation Model
Alimama Tech
Alimama Tech
Dec 17, 2025 · Artificial Intelligence

How VeM Achieves Precise Semantic, Temporal, and Rhythmic Alignment in Video-to-Music Generation

The VeM model introduces a latent diffusion framework that leverages hierarchical video parsing, scene‑guided cross‑attention, and a transition‑beat alignment adapter to generate high‑fidelity background music perfectly synchronized with video semantics, timing, and rhythm, outperforming existing baselines on extensive quantitative and qualitative evaluations.

Audio GenerationCross-Attentionlatent diffusion
0 likes · 14 min read
How VeM Achieves Precise Semantic, Temporal, and Rhythmic Alignment in Video-to-Music Generation