The design and implementation of a geographical indication push system based on big data

In response to the issues of insufficient popularity of geographical indication products in Hubei Province, the difficulty in inheriting traditional craftsmanship, and the weak protection of intellectual property rights, this study designs and implements a precise push system based on big data. The system integrates spatio-temporal collaborative filtering algorithms, user behavior analysis, and multi-modal interaction technologies to build core modules of users, games, products, and interactions. These are respectively realized through immersive interaction, high-definition display and traceability codes, and community sharing to enhance cognition, ensure authenticity, and increase stickiness. Technically, it adopts CDN, Ajax asynchronous loading, and other methods to optimize performance and recommendation effects. Experiments show that the system can improve product awareness and purchase conversion rates, alleviate data sparsity and cold start problems, and provide technical support for industrial digital transformation, regional economic development, and rural revitalization.