This case study details how the 58 local service platform identified usability problems in its listing pages, implemented a data‑driven redesign focusing on findability, visual appeal, and user‑merchant connection, and achieved significant revenue growth through iterative improvements and a new shop‑style layout.
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.
This article introduces Meituan's on‑site comprehensive knowledge graph, detailing its multi‑layer design, data‑driven construction pipeline, challenges of diverse user demands and industry complexity, and showcases practical applications in search, recommendation, intelligent display, as well as future expansion plans.
This article explains how Alibaba’s local‑life platforms leverage edge‑side AI to run machine‑learning inference on users’ devices, detailing the concept, advantages, technical architecture, and concrete implementations such as user feature extraction, intelligent recommendation, and smart push, while outlining future directions.
This case study examines how analyzing user demographics, business goals, and operational activities led to a redesign of a local service platform using real‑person imagery, scene composition, and interactive elements, ultimately improving perceived authenticity, service clarity, and promotional impact for users.
