Insurance short video content generation method and device, medium and program product

By combining semantic parsing and large language models with knowledge graphs, the shortcomings of insurance short video generation systems in terms of professionalism and compliance have been addressed, enabling rapid and personalized content generation and improving generation efficiency and quality.

CN121711545AActive Publication Date: 2026-03-20BEIJING ZHIBAO HUIZHONG DIGITAL TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202511900430.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-16
Publication Date
2026-03-20
Estimated Expiration
2045-12-16

AI Technical Summary

Technical Problem

In the existing technology, insurance short video generation systems are difficult to meet the content creation needs of specific hot topics, segmented user groups or complex insurance products in terms of professionalism and compliance, resulting in low generation efficiency and compliance risks.

Method used

By extracting core risk elements from trending events through semantic parsing, matching potential users' protection gaps, generating creative content using a large language model in the insurance field, and conducting compliance checks, the system combines knowledge graphs and user behavior analysis to achieve automated content generation.

Benefits of technology

It enables rapid response and compliance control of insurance short video content, improves generation efficiency and content quality, and ensures the timeliness and personalized adaptability of the content.

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Abstract

The invention discloses an insurance short video content generation method and device, a medium and a program product, and relates to the technical field of artificial intelligence. Semantic analysis is performed on hot event data to extract core risk elements, so that the system can capture risk features concerned by the current society. The core risk elements are matched with the guarantee demands of the potential users, the guarantee gap is determined, and the association mapping between the hot event risks and the guarantee demands is established, so that the determination of the target insurance product has risk guidance. And determining a cue word generation strategy from a preset strategy library and inputting the cue word generation strategy into the insurance field large language model to generate a first draft of the content, thereby realizing automatic generation of the content. And in combination with a preposed compliance detection mechanism, the compliance of the generated content is ensured. Quick response and generation of the insurance short video content are realized, and the content generation efficiency is improved.
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