An intelligent advertisement design generation method

By employing intelligent advertising design and generation methods, and utilizing technologies such as data collection, user profiling modeling, and multimodal content generation, the problems of low efficiency, lack of personalization, and copyright and ethical risks in traditional advertising design are solved. This enables real-time optimization and personalized generation of advertising content, thereby improving advertising design efficiency and the comprehensiveness of data utilization.

CN122367554APending Publication Date: 2026-07-10CHENGDU LOHAS CULTURE COMM CO LTD
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Patent Information

Application Number
CN202610661464.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-05-14
Publication Date
2026-07-10

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Abstract

This invention discloses an intelligent advertising design and generation method, specifically including the following steps: S1, Data Collection and Preprocessing: Collecting product data, user behavior data, historical advertising data, and real-time market data, and performing cleaning, labeling, and feature extraction; S2, User Profile Modeling: Constructing a dynamically updated user interest graph based on clustering analysis and deep learning algorithms; This invention relates to the field of artificial intelligence technology. This intelligent advertising design and generation method integrates multi-dimensional data such as product functions, user behavior, and competitor dynamics to improve the accuracy of advertising content, generate targeted advertising copy, support the joint generation and style unification of text, images, and videos, and the system can simultaneously generate advertising slogans such as "Riding the Wind, Unlocking the Acceleration of Youth" and dynamic posters, track click-through rates, conversion rates, and other indicators in real time, automatically adjust content parameters, use blockchain technology to store copyright information, and protect user data through differential privacy algorithms.
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