To design a software to automatically generate a large amount of irrelevant advertising information, you can follow the following steps: ### 1. Determine the requirements - **Goal**: Clarify the purpose of generating advertising information, such as filling advertising space, testing the system, etc. - **Output format**: Determine the format of the advertising information, such as text, image, HTML, etc. ### 2. Technology selection - **Programming language**: Select a suitable programming language, such as Python, JavaScript, etc. - **Library and framework**: Consider using a library for generating text, such as a random text generator or a natural language processing library (such as NLTK, spaCy). ### 3. Design an advertising content generation module - **Template design**: Create some advertising templates and use placeholders to generate specific content. For example: - "Buy {product} and enjoy {discount}!" - **Vocabulary library**: Build a vocabulary library, including different product names, discount values, promotions, etc., which can be randomly generated or extracted from existing data. ### 4. Randomization algorithm - Implement randomization logic, randomly select words from the vocabulary library to fill in the template, and generate advertising content. For example: ```python import random products = ["手机", "电脑", "电视", "头耳"] discounts = ["20%", "30%", "50%"] def generate_ad(): product = random.choice(products) discount = random.choice(discounts) return f"Buy {product} and enjoy {discount}!" for _ in range(10): # Generate 10 ads print(generate_ad()) ``` ### 5. Generate a large number of ads - **Batch generation**: Set up a loop to generate a large amount of advertising information and store it in a database or file. - **De-duplication mechanism**: You can simply add a de-duplication mechanism to avoid generating exactly the same ads. ### 6. Test and evaluate - Test whether the generated advertising information meets the requirements and ensure that the generated content is irrelevant and diverse. - Adjust the vocabulary library and templates based on feedback to improve the generation quality. ### 7. Deploy and run - Deploy the software to a server or cloud platform to generate advertising information regularly as needed. - You can set up an interface to allow other systems to call the ad generation module. ### 8. Continuous optimization - Continuously improve and optimize the logic and content of ad generation based on actual usage feedback to increase its diversity and fun. This process can help you design a software that can automatically generate a large amount of irrelevant ad information. Make sure the generated content meets your expectations and can flexibly respond to different needs.