2results about How to "Precise touch" patented technology

The invention discloses a cross-platform content generation and distribution method based on a multi-modal AI, and belongs to the technical field of cross-platform content generation and distribution, and the method comprises the steps: carrying out the content analysis and feature extraction of an original material based on a multi-modal AI model, and generating a structured content label and a semantic vector. By combining a vector matching degree formula of target portrait features and platform features, an adaptation strategy is dynamically generated, it is ensured that content not only conforms to platform rules, but also can accurately reach a target group, the conversion rate and user viscosity are finally improved, visual, text and semantic vectors are aligned through a Transform multi-modal fusion model, a cross-modal joint representation vector is generated, and the user experience is improved. And in combination with an adversarial generative network, differentiated variants of the same theme are generated in batches, and a content diversity score mechanism ensures that generated contents are balanced between creativity and compliance.

This invention provides a big data-based automated health insurance pricing system, comprising: a big data platform, which is connected to a data acquisition interface via an API; a data analysis and modeling module connected to the big data platform; a rules engine connected to the big data platform; and a user interface on the big data platform for customers or agents to input information, view quotes, and complete the purchase process. The data analysis and modeling module includes actuarial models and a machine learning algorithm library for risk assessment and pricing. The rules engine stores and executes the business rules, compliance requirements, and underwriting policies for insurance products. This invention enables personalized pricing: it can achieve more reasonable rate pricing based on individual health conditions, rather than relying on traditional large-group average data; and it improves efficiency: the automated process significantly shortens underwriting and pricing time, enhancing the customer experience.