2results about How to "Achieve satisfaction" patented technology

The invention relates to the technical field of data processing, in particular to an e-commerce platform user portrait generation method based on a neural network technology. Client data is cleaned, governed and subjected to clustering analysis to create an accurate user portrait for a user, and an algorithm model is iteratively adjusted in the development of operation experience; subtracting the mean value and then dividing the mean value by the standard deviation, selecting an initial point by optimizing a clustering analysis result and utilizing a strategy that the farther the clustering distance is, the better the clustering distance is, and continuously adjusting and repeatedly calculating to realize the best effect; the advantages of the user portraits based on the neural network technology can help an e-commerce platform to realize precise marketing, improve user experience, predict market trend, provide customized services, optimize advertisement putting and the like. By continuously and deeply knowing and analyzing the user portraits, the e-commerce platform can better meet the user requirements and improve the brand value, thereby realizing continuous and stable development.

This invention relates to the field of artificial intelligence technology, specifically to a personalized, in-depth cultural tourism planning system and method based on a large-scale artificial intelligence model. It includes a multi-source data fusion unit for constructing a dynamic cultural tourism knowledge graph; the experience nodes of the dynamic cultural tourism knowledge graph include hidden experience nodes obtained through data mining; a user intent understanding unit generates multi-dimensional user profile vectors; an intelligent planning and optimization unit generates personalized spatiotemporal travel plans, personal baggage preparation suggestions, global optimization of resource allocation, and dynamic personalized guidelines based on the dynamic cultural tourism knowledge graph and multi-dimensional user profile vectors; and a closed-loop feedback and evolution unit collects feedback data to update user profiles and optimize planning decisions. This system achieves automated mining and real-time fusion of multi-source unstructured data, thereby generating personalized plans that not only conform to users' deep cultural interests but are also highly feasible under actual spatiotemporal and resource constraints.