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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 LearningReinforcement Learningauto-bidding
0 likes · 13 min read
Can Few-Shot Reinforcement Learning Supercharge Budget-Constrained Auto-Bidding?
Model Perspective
Model Perspective
Oct 1, 2025 · Operations

Unlock Holiday Efficiency: Mathematical Modeling Tips for Travel, Crowds, and Budgets

This article explores how mathematical modeling techniques—ranging from traveling salesman optimization and multi‑objective planning to ARIMA forecasting, queueing theory, and dynamic programming—can improve National Day holiday travel routes, predict visitor flows, optimize spending, and enhance traffic and safety management.

Traffic analysisTravel Planningbudget allocation
0 likes · 13 min read
Unlock Holiday Efficiency: Mathematical Modeling Tips for Travel, Crowds, and Budgets
DataFunSummit
DataFunSummit
Mar 19, 2022 · Artificial Intelligence

Intelligent Advertising in Real Estate: Challenges, Practices, and Insights from Beike

This article presents Beike's experience in intelligent real‑estate advertising, detailing the business background, key technical challenges such as conversion‑rate estimation, delayed‑feedback modeling, GEO targeting, and budget allocation, and sharing practical solutions that improved conversion rates by over 10%.

DSPReal Estateai
0 likes · 11 min read
Intelligent Advertising in Real Estate: Challenges, Practices, and Insights from Beike
DataFunTalk
DataFunTalk
Feb 26, 2022 · Artificial Intelligence

Intelligent Advertising in Real Estate: Challenges, Practices, and Insights from Beike

This article presents Beike's experience in applying intelligent advertising to the real‑estate industry, detailing business background, key technical challenges, multi‑task conversion modeling, GEO user targeting, delayed‑feedback calibration, and ROI‑driven budget allocation to improve ad effectiveness.

AdvertisingReal Estateai
0 likes · 10 min read
Intelligent Advertising in Real Estate: Challenges, Practices, and Insights from Beike
Alimama Tech
Alimama Tech
Jan 12, 2022 · Big Data

Marketing Mix Modeling (MMM): Background, Scenarios, Solutions, and Case Applications

Marketing Mix Modeling (MMM) is a statistical, macro‑level technique that quantifies the sales impact of diverse marketing, pricing, competitor, and economic factors, enabling brands to allocate budgets, simulate scenarios, and optimize ROI across online and offline channels, often complemented by attribution models for detailed digital insights.

AdvertisingMMMMarketing Mix Model
0 likes · 16 min read
Marketing Mix Modeling (MMM): Background, Scenarios, Solutions, and Case Applications
DataFunTalk
DataFunTalk
May 19, 2021 · Artificial Intelligence

Causal Inference for Optimizing Advertising Budget Allocation in Fliggy Search CPC Ads

This article explains how causal inference techniques are applied to model the uplift effect of ad placement in Alibaba's Fliggy search CPC advertising, transforming budget allocation into a multi‑objective optimization problem and describing practical control methods, feature engineering, sample re‑sampling, model designs, uplift evaluation, and future research directions.

AdvertisingUplift Modelingbudget allocation
0 likes · 18 min read
Causal Inference for Optimizing Advertising Budget Allocation in Fliggy Search CPC Ads
58 Tech
58 Tech
Jul 8, 2020 · Artificial Intelligence

Budget Pacing Techniques and Their Application in 58.com Advertising Platform

This article introduces mainstream budget‑pacing methods for cost‑per‑click online ads, describes the 58.com business scenarios, details the pacing algorithm—including bid modification, probabilistic throttling, and reinforcement‑learning approaches—explains system design with PID control, and presents online experimental results and future directions.

Ad TechPID controlReinforcement Learning
0 likes · 14 min read
Budget Pacing Techniques and Their Application in 58.com Advertising Platform