intelligent marketing

DataFunSummit

Sep 12, 2021 · Artificial Intelligence

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

This article details Haola's end‑to‑end algorithmic ecosystem for its ride‑sharing service, covering the machine‑learning platform built on Hadoop/YARN, the architecture and evolution of the matching recommendation engine, transaction‑ecosystem governance models, and intelligent marketing strategies including uplift modeling and optimization.

AIRecommendation EngineTransaction Governance

0 likes · 19 min read

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

Youku Technology

Apr 2, 2020 · Artificial Intelligence

In‑Depth Overview of Intelligent Marketing Uplift Modeling

The talk explains uplift modeling for intelligent marketing, showing how causal lift predictions—derived from randomized experiments using two‑model, one‑model, or tree‑based methods—identify truly responsive users, evaluate performance with AUUC/Qini, and were applied to Taopiaopiao’s coupon allocation via knapsack optimization, highlighting challenges and future directions.

A/B testingcausal inferenceintelligent marketing

0 likes · 16 min read

In‑Depth Overview of Intelligent Marketing Uplift Modeling

Didi Tech

Dec 2, 2019 · Artificial Intelligence

Reinforcement Learning for Intelligent Marketing in Didi's Xiaoju Car Service

Didi’s Xiaoju Car Service leverages a reinforcement‑learning framework with Double DQN and graph‑embedding‑based personalization across its traffic‑distribution, tagging, portrait, targeting, strategy, and reach‑optimization modules, replacing manual rule‑based marketing, and achieves roughly 8 % new‑user lift, 50 % cost reduction, and significant gains in open and conversion rates.

DidiReinforcement Learninggraph embedding

0 likes · 12 min read

Reinforcement Learning for Intelligent Marketing in Didi's Xiaoju Car Service

DataFunTalk

Nov 27, 2019 · Artificial Intelligence

Applying Reinforcement Learning and Graph Embedding for Intelligent User Operations in Didi Ride‑Sharing

This article describes how Didi Ride‑Sharing leverages reinforcement learning and graph‑embedding techniques to model and optimize user‑operation marketing, detailing system architecture, algorithm design, experimental ROI improvements, and personalized message delivery for enhanced conversion and cost efficiency.

DidiROIReinforcement Learning

0 likes · 11 min read

Applying Reinforcement Learning and Graph Embedding for Intelligent User Operations in Didi Ride‑Sharing