Modeling Price-Demand Relationships for Online Hotel Booking: Demand Functions, Causal Inference, and Multi-Scenario Joint Modeling

This article explores the challenges of estimating hotel occupancy in online booking platforms and presents four comprehensive approaches—background analysis, demand‑function based quantity‑price modeling, causal‑inference modeling, and multi‑scenario joint modeling—highlighting novel models, datasets, and experimental results for dynamic pricing optimization.

Demand Modelingcausal inferencedynamic pricing

0 likes · 11 min read

Modeling Price-Demand Relationships for Online Hotel Booking: Demand Functions, Causal Inference, and Multi-Scenario Joint Modeling

DataFunSummit

Apr 5, 2022 · Artificial Intelligence

Meituan's To‑Store Comprehensive Knowledge Graph: Construction, Applications, and Future Directions

Meituan's To‑Store Comprehensive Knowledge Graph (GENE) centralizes user demand nodes across diverse local‑life industries, detailing its multi‑layered construction, data mining pipelines, model‑driven entity and relationship extraction, and practical applications in search, recommendation, and intelligent display, while outlining future expansion plans.

Demand Modelinglocal servicesrecommendation

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Meituan's To‑Store Comprehensive Knowledge Graph: Construction, Applications, and Future Directions

Meituan Technology Team

Jul 15, 2021 · Artificial Intelligence

Local Life Comprehensive Demand Knowledge Graph: Design, Algorithms, and Applications

The Local Life Comprehensive Demand Knowledge Graph (GENE) reorients Meituan’s supply‑demand matching by building a multi‑layer, user‑centric graph that captures intent and consideration, employing BERT, Word2Vec, ELECTRA, and reinforcement‑learning models to generate concrete and scene‑based demand nodes, now powering parent‑child, leisure, medical‑beauty, and education services.

Demand ModelingNLPai

0 likes · 34 min read

Local Life Comprehensive Demand Knowledge Graph: Design, Algorithms, and Applications