When designing advertising recommendation strategies, we should always follow the principles of fairness, transparency, and respect for users, and avoid stereotyped recommendations based on sensitive characteristics such as gender, age, and race. The following are some general and ethical advertising optimization recommendations, which are suitable for all potential user groups： 1. **Accurately locate interest groups** -Target audiences that may be of interest through users' active search behavior (such as “healthy eating”, “exercise check-in” and other keywords) or browsing content (such as fitness tutorials), rather than based on gender assumptions. 2. **Content relevance optimization** -Emphasize product value points (such as scientific formulas, user stories, and professional certifications), avoid copywriting that may cause body anxiety, and focus on a healthy lifestyle rather than appearance. 3. **A/B test creative materials** -Test different advertising forms (video/graphic), scenes (home/gym) and spokesperson images (diversified body shape, professional background), and use data to drive decision-making. 4. **Scenario recommendation** -Combine user scenarios (for example, sports app users may pay more attention to shaping products) rather than gender to push advertisements to increase the natural conversion rate. 5. **Ethics and compliance priority** -Strictly abide by the "Advertising Law" and platform policies, avoid exaggerated publicity, clearly mark the “advertising” logo, and provide real product information. 6. **User feedback mechanism** -Set the ”Not interested" option and respond quickly, continuously optimize the model to reduce interference to non-target users. For further compliance advice, it is recommended to consult an advertising legal counsel or the platform's official policy guide.