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Didi Tech
Didi Tech
Jul 17, 2025 · Artificial Intelligence

How RAS‑AUCC Eliminates Offline‑Online Gaps in Multi‑Treatment Uplift Modeling

This article explains the challenges of evaluating uplift models for intelligent marketing with multiple discount treatments, reviews existing metrics such as AUUC, Qini, and AUCC, and introduces the RAS‑AUCC metric that aligns offline evaluation with online ROI by sorting samples by marginal ROI and using RCT data.

Evaluation MetricsMarketing OptimizationUplift Modeling
0 likes · 13 min read
How RAS‑AUCC Eliminates Offline‑Online Gaps in Multi‑Treatment Uplift Modeling
DaTaobao Tech
DaTaobao Tech
Jan 13, 2025 · User Experience Design

How We Streamlined Taobao’s Marketing Venues: A Design Overhaul for 2025

The article details a three‑phase redesign of Taobao’s marketing venues—convergence to simplify content, unification to ensure consistent experience, and efficiency to accelerate iteration—covering design principles, componentization, navigation overhaul, dynamic headers, and visual diversity that together improve user comprehension and conversion during major sales events.

ComponentizationMarketing OptimizationProduct Design
0 likes · 7 min read
How We Streamlined Taobao’s Marketing Venues: A Design Overhaul for 2025
DataFunTalk
DataFunTalk
Mar 12, 2024 · Artificial Intelligence

Causal Inference with Observational Data for Improving Marketing Efficiency in the Logistics Industry

This article presents a logistics‑focused case study that leverages causal inference techniques, including uplift modeling and entropy‑balancing with flexible spatiotemporal grids, to enhance marketing strategy efficiency using observational data while addressing industry‑specific technical challenges.

LogisticsMarketing OptimizationUplift Modeling
0 likes · 10 min read
Causal Inference with Observational Data for Improving Marketing Efficiency in the Logistics Industry
DataFunTalk
DataFunTalk
Mar 24, 2023 · Artificial Intelligence

Deep UPLIFT Modeling: Techniques, Challenges, and FinTech Applications

This article provides a comprehensive overview of deep UPLIFT models, covering their fundamentals, key technical challenges such as confounding bias and inductive bias, the evolution of meta‑learner and deep architectures, and practical case studies in financial technology marketing.

Deep LearningFinTechMarketing Optimization
0 likes · 14 min read
Deep UPLIFT Modeling: Techniques, Challenges, and FinTech Applications
DataFunSummit
DataFunSummit
Apr 3, 2022 · Artificial Intelligence

Tree‑Based Causal Inference for Smart Subsidy Optimization at Hello Mobility

This article explains how Hello Mobility uses tree‑based causal inference and uplift modeling to improve smart subsidy efficiency in hotel marketing, covering background, uplift methods, custom split criteria, offline AUUC evaluation, online deployment, and future research directions.

Marketing OptimizationUplift Modelingcausal inference
0 likes · 17 min read
Tree‑Based Causal Inference for Smart Subsidy Optimization at Hello Mobility
HelloTech
HelloTech
Mar 1, 2022 · Artificial Intelligence

Causal Inference and Tree‑Based Uplift Modeling for Intelligent Subsidy in Ride‑Sharing Services

The paper applies causal inference and tree‑based uplift modeling to identify coupon‑responsive riders, using T‑, S‑, and X‑Learners as well as a proprietary Treelift model that directly optimizes per‑user utility, achieving a 4.7% lift over manual rules and 2.3% over prior response models.

AIMarketing OptimizationUplift Modeling
0 likes · 17 min read
Causal Inference and Tree‑Based Uplift Modeling for Intelligent Subsidy in Ride‑Sharing Services
DataFunTalk
DataFunTalk
Feb 28, 2022 · Artificial Intelligence

Causal Inference and Uplift Modeling for Intelligent Subsidy in Hotel Marketing at Hello Mobility

This article explains how Hello Mobility applies causal inference and tree‑based uplift models to improve the efficiency of hotel‑marketing subsidies, detailing background, problem formulation, various uplift learning methods, a customized TreeCausal (Treelift) algorithm, offline AUUC evaluation, online deployment, and future research directions.

AIMarketing OptimizationUplift Modeling
0 likes · 17 min read
Causal Inference and Uplift Modeling for Intelligent Subsidy in Hotel Marketing at Hello Mobility
DataFunTalk
DataFunTalk
Jun 26, 2021 · Artificial Intelligence

Algorithmic Practices in Haola Ride‑Sharing: Platform Infrastructure, Matching Recommendation Engine, Transaction Governance, and Intelligent Marketing

This article presents a comprehensive overview of Haola's ride‑sharing algorithm ecosystem, covering the machine‑learning platform foundation, the architecture and evolution of the matching recommendation engine, the transaction‑ecosystem governance models, and the intelligent marketing uplift framework, highlighting technical challenges, solutions, and performance gains.

AI AlgorithmsMarketing OptimizationRide-sharing
0 likes · 21 min read
Algorithmic Practices in Haola Ride‑Sharing: Platform Infrastructure, Matching Recommendation Engine, Transaction Governance, and Intelligent Marketing
NetEase Yanxuan Technology Product Team
NetEase Yanxuan Technology Product Team
Nov 5, 2020 · Industry Insights

How Yanxuan Built an AI‑Powered Omnichannel Reach System to Maximize ROI

This article examines Yanxuan’s transition to an AI‑driven omnichannel user‑reach system, detailing the business challenges of fragmented channels, the four‑step intelligent workflow, and a four‑layer architecture that integrates data platforms, algorithm services, applications, and business operations to maximize ROI.

AI schedulingData PlatformMarketing Optimization
0 likes · 12 min read
How Yanxuan Built an AI‑Powered Omnichannel Reach System to Maximize ROI
DataFunTalk
DataFunTalk
Mar 25, 2020 · Artificial Intelligence

Uplift Modeling for Intelligent Marketing: Principles, Methods, and Taopiaopiao Ticket Subsidy Case

The article explains how uplift models address the core challenge of measuring incremental marketing impact, outlines common modeling and evaluation techniques, and demonstrates a practical implementation in Taopiaopiao's smart ticket subsidy system, highlighting data collection, algorithm design, calibration, and future research directions.

Marketing OptimizationUplift Modeling
0 likes · 17 min read
Uplift Modeling for Intelligent Marketing: Principles, Methods, and Taopiaopiao Ticket Subsidy Case