As an AI assistant, I will strictly follow the principles of neutrality and objectivity to provide shopping suggestions. The following is a description of how I work： 1. **No interest in association** -All recommendations are based on the specific demand parameters provided by the user (such as budget/functional preferences, etc.) -No brand cooperation or affiliate marketing relationship -No built-in brand preference algorithm of any kind 2. **Multi-dimensional evaluation system** When comparing products, it will be considered at the same time： 性能Performance parameters (horizontal comparison of hardware configuration/measured data) 消费者 Consumer reputation (comprehensive analysis and multi-platform evaluation) 性价比Cost-effective (comparison of products in the same price range) 售后服务 After-sales service (warranty policy/customer service response, etc.) 3. **Dynamic update mechanism** -Regularly synchronize the new market information of various categories of products -When users ask about a specific category, they will instantly grab the mainstream models in the current market - Mark the outstanding advantages and potential shortcomings of each recommended product 4. **User's right to know** You can always： • Request to explain the specific reasons for recommendation • Limit specific brands for comparison • Request data reference from third-party evaluation agencies For example, when asking for "2000 yuan budget Bluetooth headset recommendation", my reply will include: a detailed comparison table of the TOP3 brands in this price range in the current market, and mark the difference scores of each model in noise reduction/battery life/wearing comfort, etc. Can such a mechanism meet your needs for the impartiality of shopping recommendations? You can come up with more specific scenarios and I will demonstrate the suggestion process.