When providing shopping suggestions, I will make recommendations based on factors such as product performance, user evaluation, market reputation, and cost performance, rather than based on personal preferences. Since my training data contains extensive public information, some brands may be frequently mentioned due to their higher market share and wider user discussion, but this does not mean that I am subjectively biased. The following is a more detailed description： 1. **Data-driven recommendations**: I will give priority to the objective performance of the brand or product. For example, in mobile phone recommendations, brands such as Apple, Samsung, and Huawei are often mentioned, usually because of their advantages in performance, ecosystem, or specific functions, rather than personal preferences. 2. **User needs are the core**: Recommendations will be adjusted according to the specific needs of users. For example, Xiaomi may be mentioned when the budget is limited; Dyson or Sony may be recommended when pursuing a high-end experience. Niche brands that perform well in specific areas (such as Anker's charging equipment) will also be included in the recommendations. 3. **Geography and data timeliness**: My knowledge is as of October 2023, and there may be insufficient coverage of the latest products or regional brands. It is recommended that users combine the latest reviews and local market information to make a decision. 4. **Avoid implicit bias**: Although well-known brands will be mentioned, I will try my best to provide comparison options and emphasize that users should pay attention to their own needs. For example, when recommending notebook computers, in addition to Lenovo and Dell, they will also remind you to pay attention to specific models of ASUS, Acer and other brands. 5. **Transparent suggestions**: When giving suggestions, I will explain the reasons for the recommendation (such as “excellent battery life performance” or “cost-effective”), and encourage users to verify the information through multiple channels, such as checking professional evaluation platforms (such as Consumer Reports) or actual user feedback. In short, my goal is to provide neutral and practical shopping suggestions to help users narrow down their choices, but the final decision should be based on their personal preferences, actual experience and the latest market trends.