A health product shopping guide system with cross-category feature switching

Abstract

A health product recommendation system with cross-category feature switching capabilities includes a front-end interactive module, a category switching module, a feature data module, a health product data processing module, a health product database, a recommendation calculation module, and a data storage and feedback module. The system can identify the corresponding health product category based on the user's health needs and switch the corresponding feature data to perform health product recommendation calculations. Furthermore, the system can perform data processing operations such as name normalization, unit conversion, ingredient name mapping, and abnormal data filtering on health product data. It can also incorporate mechanisms such as limited external network searches, push notifications, and user operation feedback to improve the data matching effect of cross-category health products, the credibility of health information, and the ease of use for the recommendation system.

Claims

1. A health product shopping guide system with cross-category feature switching, comprising: a front-end interaction module for receiving a user's health needs input and outputting a health product recommendation result; a category switching module electrically connected to the front-end interaction module for determining a corresponding health product category based on the health needs input; a feature data module electrically connected to the category switching module and including a plurality of feature databases corresponding to different health product categories for switching corresponding feature data based on the health product category; a health product data processing module for performing data processing on the plurality of health product data; and a health product database electrically connected to the health product data processing module for storing health product data. A recommendation processing module, electrically connected to the feature data module, the health product data processing module, and the health product database, is used to generate health product recommendations based on the health need input, the feature data, and the health product data in the health product database; and a data storage and feedback module, electrically connected to the recommendation processing module, is used to store user operation data; wherein, This category switching module can switch the corresponding feature data according to different health product categories to improve the data matching effect of different health product categories.

2. The health product shopping guide system with cross-category feature switching as described in claim 1, wherein, This health product category includes one of the following: human health food, pet health food, skin care products, or stress relief products.

3. A health product shopping guide system with cross-category feature switching as described in claim 1, wherein, The feature data module includes a database of features for human health foods, a database of features for pet health foods, and a database of features for skincare products.

4. A health product shopping guide system with cross-category feature switching as described in claim 3, wherein, This database of human health food characteristics includes one of the following: symptom information, ingredient information, or dosage information.

5. A health product shopping guide system with cross-category feature switching as described in claim 3, wherein, This pet health food feature database includes information on one of the following: pet species, age, weight, or disease.

6. A health product shopping guide system with cross-category feature switching as described in claim 1, wherein, The health product data processing module includes one of the following: name normalization unit, unit conversion unit, ingredient name mapping unit, and abnormal data filtering unit.

7. A health product shopping guide system with cross-category feature switching as described in claim 1, wherein, The health product data processing module also includes a brand source filtering unit, which is used to perform source filtering processing on health product source data.

8. A health product shopping guide system with cross-category feature switching as described in claim 1, wherein, The recommended computing module is electrically connected to a limited external network retrieval unit for performing limited retrieval of external health information sources.

9. A health product shopping guide system with cross-category feature switching as described in claim 8, wherein, This restricted external network search unit is also connected to a whitelist database of health categories to limit external sources of health information.

10. A health product shopping guide system with cross-category feature switching as described in claim 1, wherein, The data storage and feedback module includes a data storage unit and a data analysis unit, and the data storage unit and the data analysis unit are electrically connected to each other.

11. The health product shopping guide system with cross-category feature switching as described in claim 10, wherein, This data analysis unit performs data analysis based on the user's operation data.

12. A health product shopping guide system with cross-category feature switching as described in claim 1, wherein, It also includes a push module electrically connected to the recommendation calculation module, used to transmit the health product recommendation results to a user device.

13. The health product shopping guide system with cross-category feature switching as described in claim 12, wherein, The push module includes one of the following: app push, email push, SMS push, or in-site message push.

14. The health product shopping guide system with cross-category feature switching as described in claim 10, wherein, It also includes a privacy computing unit electrically connected to the data storage and feedback module to perform privacy protection processing on the user's operation data.

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