多模态内容自适应生成方法、终端设备以及存储介质

By using a multimodal content adaptive generation method, the problem of cross-platform content style transfer was solved, enabling efficient generation of adapted content on different e-commerce platforms and improving content dissemination efficiency and reuse rate.

CN121030091BActive Publication Date: 2026-07-17SHENZHEN BIT EMERGENCE TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHENZHEN BIT EMERGENCE TECHNOLOGY CO LTD
Filing Date
2025-08-21
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

The lack of an effective cross-platform content style transfer mechanism in existing technologies means that content needs to be created separately for different e-commerce platforms, which consumes a lot of time and energy and has a very low content reuse rate, thus reducing the efficiency of content dissemination.

Method used

By using a multimodal content adaptive generation method, the feature vectors of the target platform and user feature vectors are determined, and a multimodal generation model is used to generate content adapted to different platforms, including data collection, analysis, user behavior data processing, and application of the multimodal generation model.

Benefits of technology

It achieves precise cross-platform content adaptation, improves content dissemination efficiency, reduces time and effort consumption, and increases content reuse rate.

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Abstract

本发明实施例提供一种多模态内容自适应生成方法、终端设备以及存储介质,属于内容生成技术领域。该方法包括:确定目标平台,并对目标平台中发布信息进行数据采集获得目标平台对应的平台数据信息;对平台数据信息进行数据分析获得目标平台对应的目标特征向量;对目标平台中目标用户对应的行为数据进行数据采集获得目标平台下目标用户对应的用户行为数据;根据用户行为数据结合用户偏好模型确定目标平台下所述目标用户对应的用户特征向量;确定目标平台下需要发布的目标产品信息,并根据目标产品信息结合目标特征向量和用户特征向量利用多模态生成模型确定目标产品信息在目标平台下对应的目标生成内容。
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