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Alimama Tech

Nov 13, 2024 · Artificial Intelligence

DeepString: Alibaba's Anti‑Fraud Platform Using Large Models for Real‑Time Traffic Detection

Alibaba's anti-fraud platform DeepString uses large unsupervised models to detect abnormal traffic in real time across multiple advertising products, combining a foundation model for event mining, anomaly measurement, and an alignment model for online filtering, reducing reliance on manual labeling and domain expertise.

Large ModelsRisk Managementalgorithm framework

0 likes · 19 min read

DeepString: Alibaba's Anti‑Fraud Platform Using Large Models for Real‑Time Traffic Detection

Alimama Tech

Nov 6, 2024 · Artificial Intelligence

How AI Generates Synchronized Video Narrations for E‑Commerce

This article presents the research behind Synchronized Video Storytelling, introducing the E‑SyncVidStory dataset, the VideoNarrator multimodal architecture, and extensive experiments that demonstrate high‑quality, product‑aware video narration generation for e‑commerce applications.

DatasetLLMe-commerce

0 likes · 12 min read

How AI Generates Synchronized Video Narrations for E‑Commerce

Alimama Tech

Oct 17, 2024 · Artificial Intelligence

FLUX ControlNet Inpainting and 8-Step Turbo Acceleration Models

Alibaba’s Mama Intelligent Creation team has open‑sourced a FLUX‑based ControlNet inpainting model that leverages a DiT‑backed Interleave design for superior repair quality, and an 8‑step LoRA‑Turbo model that cuts inference time three‑fold while preserving near‑original image fidelity, both now available on Hugging Face and ModelScope.

AIControlNetFlux

0 likes · 9 min read

FLUX ControlNet Inpainting and 8-Step Turbo Acceleration Models

Alimama Tech

Sep 11, 2024 · Artificial Intelligence

A Generative Approach for Treatment Effect Estimation under Collider Bias: From an Out-of-Distribution Perspective

The paper introduces a coupled generative adversarial framework that merges biased observational with unbiased experimental data to create a bias‑free dataset for causal inference, enabling robust treatment‑effect estimation under collider bias from an out‑of‑distribution perspective, and demonstrates superior bias reduction on three public advertising datasets.

Generative Adversarial Networkscausal inferenceincremental value

0 likes · 10 min read

A Generative Approach for Treatment Effect Estimation under Collider Bias: From an Out-of-Distribution Perspective

Alimama Tech

Aug 30, 2024 · Operations

How a Bi‑Objective Local Search Improves Contract Ad Inventory Allocation

This article presents a bi‑objective inventory allocation model for guaranteed‑delivery advertising that simultaneously maximizes impressions for new orders and balances supply distribution, and introduces a fast alternating local‑search algorithm (BOLS) that outperforms popular multi‑objective evolutionary algorithms and the commercial solver Gurobi in extensive experiments.

Ad TechOperations Researchbi-objective optimization

0 likes · 21 min read

How a Bi‑Objective Local Search Improves Contract Ad Inventory Allocation

Alimama Tech

Aug 16, 2024 · Artificial Intelligence

SPLAM: Sub‑Path Linear Approximation for Accelerating Diffusion Model Sampling

SPLAM (Sub‑Path Linear Approximation Model) accelerates diffusion‑model image synthesis by linearly approximating short sub‑paths of the probability‑flow ODE, allowing high‑quality generation in as few as four steps, outperforming prior fast‑sampling methods on COCO benchmarks and being deployed in Alibaba Mama’s recommendation system.

AI image generationSPLAMdiffusion models

0 likes · 11 min read

SPLAM: Sub‑Path Linear Approximation for Accelerating Diffusion Model Sampling

Alimama Tech

Aug 2, 2024 · Artificial Intelligence

Multimodal Representations Boost Taobao Display Advertising CTR

Alibaba’s advertising team introduces semantic‑aware contrastive learning to pre‑train multimodal image‑text embeddings, integrates them via SimTier and MAKE into ID‑based CTR models, achieving up to 6.9% lift in Taobao display ad click‑through rates and improving long‑tail item performance.

CTR PredictionContrastive LearningMultimodal Learning

0 likes · 21 min read

Multimodal Representations Boost Taobao Display Advertising CTR

Alimama Tech

Jul 29, 2024 · Artificial Intelligence

Generative Auto-bidding via Diffusion Modeling (AIGB)

The paper presents AIGB, a generative auto‑bidding framework that replaces reinforcement‑learning with a conditional diffusion model to generate optimal bidding trajectories, and demonstrates through offline benchmarks and Alibaba’s online A/B tests that it consistently outperforms RL baselines, boosting buy count, GMV, and ROI while maintaining low latency.

Marketing AIOnline Advertisingauto-bidding

0 likes · 18 min read

Generative Auto-bidding via Diffusion Modeling (AIGB)

Alimama Tech

Jul 15, 2024 · Artificial Intelligence

Why Auto‑Bidding in Large‑Scale Auctions Is the Hottest NeurIPS Challenge

The article explains how NeurIPS ranks among top AI conferences, introduces the newly selected “Auto‑Bidding in Large‑Scale Auctions” competition, outlines its technical background, four generations of bidding strategies—from classic control to generative models—and details the competition’s tracks, rewards, and how researchers can participate.

AdvertisingGenerative AINeurIPS

0 likes · 12 min read

Why Auto‑Bidding in Large‑Scale Auctions Is the Hottest NeurIPS Challenge

Alimama Tech

Jul 11, 2024 · Artificial Intelligence

Efficient Local Search for Guaranteed Display Advertising Inventory Allocation with Multilinear Constraints

The paper introduces LS‑IMP, a two‑stage local‑search algorithm with four novel operators that efficiently solves guaranteed‑delivery advertising inventory allocation under non‑convex multilinear media‑preference constraints, consistently outperforming commercial solvers and heuristics in solution quality and speed on real‑world datasets.

Online Advertisingalgorithminventory allocation

0 likes · 17 min read