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Latest from Alimama Tech

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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 NetworksMachine Learningcausal inference

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 predictionMultimodal LearningRecommendation Systems

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.

Generative ModelsMarketing AIauto-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.

algorithminventory allocationlocal search

0 likes · 17 min read

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

Alimama Tech

Jul 2, 2024 · Artificial Intelligence

NeurIPS 2024 Competition: Auto-Bidding in Large-Scale Auctions

The 2024 NeurIPS Competition, organized by Peking University's PAAI lab and Alibaba‑Mama, challenges teams to build auto‑bidding agents—using generative models for the AIGB Track or handling uncertainty for the General Track—to maximize ad performance in large‑scale auctions, with registration open until August 8 and prize pools up to $6,000 per track.

NeurIPSauctioncompetition

0 likes · 4 min read

NeurIPS 2024 Competition: Auto-Bidding in Large-Scale Auctions

Alimama Tech

Jun 21, 2024 · Artificial Intelligence

CausalMMM: Learning Causal Structure for Marketing Mix Modeling

CausalMMM introduces an encoder‑decoder framework that automatically discovers heterogeneous, interpretable causal graphs among advertising channels while modeling temporal decay and saturation, using Granger‑based variational inference, and achieves over 5.7% improvement in causal structure learning and significant GMV prediction gains on Alibaba’s data.

marketing mix modelingtime series forecastingvariational inference

0 likes · 16 min read

CausalMMM: Learning Causal Structure for Marketing Mix Modeling

Alimama Tech

Jun 13, 2024 · Artificial Intelligence

Calibration-compatible Listwise Distillation of Privileged Features for CTR Prediction

The article describes Alibaba's approach to distilling privileged features for CTR prediction using a calibration-compatible listwise distillation loss (CLID) that normalizes teacher and student outputs within sessions to align top‑ranking probabilities, improving both accuracy and ranking while preserving calibration.

AI in advertisingCTR predictionListwise distillation

0 likes · 14 min read

Calibration-compatible Listwise Distillation of Privileged Features for CTR Prediction