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supply-demand

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Didi Tech
Didi Tech
Jun 13, 2023 · Operations

Supply-Demand Dynamics and Regulation Techniques in Didi’s Ride-Hailing Platform

Didi balances ride‑hailing supply and demand by forecasting regional needs with time‑series and deep‑learning models, then optimally repositioning drivers through integer programming and refining policies via imitation and offline reinforcement learning, ultimately enhancing passenger experience and platform efficiency.

DidiOffline Reinforcement LearningRide-hailing
0 likes · 16 min read
Supply-Demand Dynamics and Regulation Techniques in Didi’s Ride-Hailing Platform
DataFunTalk
DataFunTalk
May 3, 2023 · Artificial Intelligence

Causal Inference for Incentive and Supply‑Demand Optimization in Tencent Weishi

This article presents a comprehensive overview of applying causal inference techniques to Tencent Weishi's cash incentive and video supply‑demand optimization, detailing business modeling, algorithmic frameworks, treatment representations, constrained multivariate causal models, experimental evaluations, and practical deployment insights.

causal inferenceincentive optimizationmachine learning
0 likes · 32 min read
Causal Inference for Incentive and Supply‑Demand Optimization in Tencent Weishi
Xianyu Technology
Xianyu Technology
Dec 8, 2020 · Big Data

Supply-Demand Modeling and Category Optimization for the Idle Second-Hand Market

The article describes a supply‑demand modeling framework for the idle second‑hand market that extracts and structures product attributes, builds a decision‑tree‑based index from price, inventory, search‑hotspot and demand‑activation sub‑models, and uses the index to optimize category allocation, boost scarce supply, and drive overall growth.

Big Datacategory optimizatione-commerce
0 likes · 7 min read
Supply-Demand Modeling and Category Optimization for the Idle Second-Hand Market
Didi Tech
Didi Tech
Aug 9, 2019 · Artificial Intelligence

Didi's Participation in JSM 2019: Four Accepted Papers and AI‑Driven Insights

At JSM 2019 in Denver, Didi’s AI Labs returned with four accepted papers on equilibrium metrics, EV ride‑sharing, supply‑balance and user lifetime value, delivered a keynote on AI for marketplaces, hosted a technical salon, and used the conference as a recruiting showcase.

Artificial Intelligencedata sciencemachine learning
0 likes · 6 min read
Didi's Participation in JSM 2019: Four Accepted Papers and AI‑Driven Insights
Architects' Tech Alliance
Architects' Tech Alliance
Mar 5, 2017 · Product Management

Dynamic Pricing Strategy in the Sharing Economy: Principles, Benefits, and Applications

Dynamic pricing strategy, as used by Uber and other sharing‑economy platforms, adjusts prices to balance supply and demand, leveraging economic incentives, algorithmic calculations, and real‑time data, and its benefits, drawbacks, and practical applications across ride‑hailing, delivery, and crowdsourcing services are examined.

Uberdynamic pricingpricing strategy
0 likes · 11 min read
Dynamic Pricing Strategy in the Sharing Economy: Principles, Benefits, and Applications
Architecture Digest
Architecture Digest
Jul 28, 2016 · Backend Development

Analysis of Java Developer Supply and Demand Trends in China

This article examines recent trends in the Chinese Java developer job market, revealing seasonal hiring peaks, the impact of venture capital cycles, evolving employer expectations for experience and multi‑skill proficiency, and why Java’s longstanding market position remains strong despite shifting technology landscapes.

JavaRecruitmentTalent
0 likes · 9 min read
Analysis of Java Developer Supply and Demand Trends in China