Ride-hailing | BestHub

HelloTech

Dec 20, 2021 · Big Data

Building an ElasticSearch-based Search Platform for Ride-Hailing: Architecture, Data Synchronization, and Performance Optimization

Hello Mobility unified its fragmented ElasticSearch clusters into a single, real‑time search platform—leveraging Kafka‑driven CDC, Flink stream processing, custom ES plugins, and extensive performance tuning—to deliver scalable matching, recommendation and voice services, ultimately raising completed orders by 49.8 % and driver acceptance by 37 %.

ElasticsearchFlinkPerformance Optimization

0 likes · 19 min read

Building an ElasticSearch-based Search Platform for Ride-Hailing: Architecture, Data Synchronization, and Performance Optimization

Didi Tech

May 11, 2021 · Artificial Intelligence

Continuous Causal Forest: Extending Uplift Modeling to Multi‑dimensional Continuous Treatments in Ride‑hailing Pricing

By extending binary causal forests with a Continuous Average Partial Effect statistic, the Continuous Causal Forest enables uplift modeling for multi‑dimensional continuous treatments such as ride‑hailing pricing, delivering superior Qini scores and over 15% ROI improvement while simplifying implementation and reducing deployment costs.

Causal InferenceMachine LearningRide-hailing

0 likes · 10 min read

Continuous Causal Forest: Extending Uplift Modeling to Multi‑dimensional Continuous Treatments in Ride‑hailing Pricing

Didi Tech

Aug 24, 2019 · Artificial Intelligence

AI Innovations in Ride-Hailing: Didi’s Smart Brain Applications

At the IJCAI conference, Didi’s CTO unveiled the company’s AI‑powered “Smart Brain,” which embeds deep‑learning‑driven features—from optimal dispatch and 2% driver‑earnings gains to 11% ETA error reduction and multi‑option route selection—while emphasizing human‑centric design, open services for partners, and large‑scale safety‑risk analytics.

AIETA PredictionIntelligent Dispatch

0 likes · 5 min read

AI Innovations in Ride-Hailing: Didi’s Smart Brain Applications