Advertisement Plan Generation Using Value-Based Material Selection
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Solution Overview
Problem
Existing advertisement generation methods lack the ability to generate rational and effective advertisement plans that align with actual needs and delivery effectiveness, often resulting in suboptimal performance and increased costs due to manual generation methods that do not consider external advertisement delivery systems.
Innovation Solution
An advertisement generation method that estimates advertisement values using a value estimation model, searches for target materials to satisfy advertisement value requirements, and optimizes the generation of advertisement plans to ensure delivery effectiveness by utilizing a plurality of target materials.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual advertisement plan generation methods are used, then the process is simple and easy to implement, but the delivery effectiveness is poor and costs increase
Solution Approach 1:
The patent replaces manual mechanical generation processes with an automated computer-based system that uses value estimation models and optimization algorithms to generate advertisement plans, thereby improving delivery effectiveness while managing complexity through automation
Solution Approach 2:
The patent changes the parameters of the advertisement plan generation process by introducing value estimation models that evaluate multiple parameters (advertisement values, material characteristics, budget constraints) and use optimization algorithms to find optimal combinations, transforming the generation process from subjective manual work to objective parameter-driven automation
2Manufacturing precision
If traditional advertisement generation methods are used, then the implementation is straightforward, but the alignment with actual needs and delivery effectiveness is poor
Solution Approach 1:
The patent performs preliminary actions by pre-training value estimation models on historical data and pre-establishing optimization frameworks before actual advertisement plan generation, allowing for rapid and precise generation when needed while reducing real-time computation time
Solution Approach 2:
The patent uses copying by training value estimation models on historical advertisement data and successful patterns, allowing the system to learn from past experiences and apply proven strategies to new advertisement plans, improving precision without linearly increasing generation time
3Adaptability or versatility
If automated generation systems are introduced to improve delivery effectiveness, then the system complexity increases, but the rationality of advertisement plan generation improves
Solution Approach 1:
The patent applies universality by designing a multi-functional system that combines value estimation, optimization, and generation capabilities in a single integrated platform, allowing the system to handle multiple advertisement types and scenarios while managing complexity through functional integration
Solution Approach 2:
The patent introduces intermediary elements such as value estimation models that act as mediators between raw input data and final advertisement plans, and optimization algorithms that mediate between multiple constraints and objectives, thereby improving adaptability while organizing system complexity through layered intermediary structures
Data Source
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AI summary
This application provides a method for generating an advertisement, a computing device, a computer storage medium, and a computer program product. The method comprises: determining a material set; obtaining at least one estimated advertisement value generated by an advertisement plan based on any material in the material set; searching for a plurality of target materials such that at least one estimated advertisement value, respectively generated by a plurality of advertisement plans based on the plurality of target materials, satisfies an advertisement value requirement; and generating the plurality of advertisement plans by utilizing the plurality of target materials. The technical solution provided in this application ensures the rationality of advertisement plan generation.