two-sided market

DataFunTalk

Dec 10, 2023 · Operations

Designing Experiments for Peak Surge Pricing in Two‑Sided Markets: Lessons from Uber, Lyft, DoorDash and Didi

This article examines how two‑sided platforms such as Uber, Lyft, DoorDash and Didi design and evaluate peak‑surcharge experiments, addressing network effects, bias‑variance trade‑offs, time‑space slicing, random‑saturation designs, and continuous bandit‑based testing within an operations‑focused experimental system.

AB testingcausal inferenceexperiment design

0 likes · 16 min read

Designing Experiments for Peak Surge Pricing in Two‑Sided Markets: Lessons from Uber, Lyft, DoorDash and Didi

Didi Tech

May 23, 2023 · Artificial Intelligence

Driver‑Passenger Matching in Didi’s Ride‑Hailing Market: Algorithms and Techniques

The article surveys Didi’s driver‑passenger matching challenges and presents a suite of solutions—from greedy nearest‑driver and Kuhn‑Munkres bipartite matching to stable marriage, dynamic and one‑to‑many assignments, reinforcement‑learning, routing and queueing models—while validating assumptions statistically, integrating preference‑aware machine learning, and outlining multi‑objective and digital‑twin future research.

Ride-hailingalgorithmmatching

0 likes · 23 min read

Driver‑Passenger Matching in Didi’s Ride‑Hailing Market: Algorithms and Techniques

DataFunTalk

Mar 11, 2023 · Product Management

Designing Incentive Strategies for Two‑Sided Market Experiments

This article explains how to design and evaluate incentive strategies in two‑sided platform experiments, covering problem background, challenges such as spillover and SUTVA violations, and proposing solutions like gradual scaling, small‑world partitioning, and ranking‑fusion approaches, while outlining key metrics for assessment.

AB testingNetwork effectsexperiment design

0 likes · 12 min read

Designing Incentive Strategies for Two‑Sided Market Experiments

DataFunTalk

Feb 24, 2023 · Artificial Intelligence

Designing Experiments for Two‑Sided Advertising Markets

This article explains the challenges of A/B testing in two‑sided advertising markets and presents several experimental designs—including four‑cell traffic experiments, counterfactual interleaving, joint sampling, and simulation systems—illustrated with Tencent’s practical implementations to mitigate interference, spillover, and competition effects.

AB testingad experimentsadvertising

0 likes · 15 min read

Designing Experiments for Two‑Sided Advertising Markets