基于数字多媒体社交媒体的餐饮门店营销内容生成方法及系统

By collecting and analyzing social media user behavior and combining it with a database of restaurant menu elements to generate scenario-based marketing content, the problem of inaccurate user needs in restaurant social media marketing has been solved. This has enabled precise reach of marketing content and platform adaptation, thereby enhancing the market competitiveness of restaurants.

CN121684995BActive Publication Date: 2026-07-17SHANGHAI MINGQI NETWORK TECH CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHANGHAI MINGQI NETWORK TECH CO LTD
Filing Date
2026-02-09
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing restaurants lack in-depth analysis of user behavior in social media marketing, their marketing content generation methods are simplistic and fail to accurately meet user needs, and the dissemination effect across different social media platforms is poor.

Method used

Collect dynamic streams of social media users' dining interaction behaviors, construct a library of scenario-based elements for restaurant dishes, dynamically deduce and generate real-time dining scenario intent sequences of users through scenario-based intent, and adjust marketing content in combination with platform behavior response characteristics to generate scenario-based marketing content.

Benefits of technology

The generated marketing content can accurately reach target users, improve the marketing effectiveness and brand influence of restaurants, and enhance the dissemination effect on different platforms.

✦ Generated by Eureka AI based on patent content.

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Abstract

本申请提供一种基于数字多媒体社交媒体的餐饮门店营销内容生成方法及系统,涉及数字多媒体技术领域,首先采集社交媒体用户餐饮互动行为动态流及餐饮门店菜品场景化元素库;对社交媒体用户餐饮互动行为动态流进行场景化意图动态推导生成用户实时餐饮场景意图序列;将其输入菜品内容场景化生成模型调用餐饮门店菜品场景化元素库元素生成多版场景化营销内容;对多版场景化营销内容进行社交媒体平台行为响应适配;根据适配结果筛选优化后输出可直接发布的营销内容,由此能够精准挖掘用户需求,生成适配不同平台的场景化营销内容,提升餐饮门店营销效果。
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