The system will also judge whether

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Personal Label: Users’ long-term accumulated browsing, collection, additional purchase, purchase, evaluation, etc. habits are formed by comprehensive factors such as single consumption capacity, consumption cycle, order time, order speed, etc.  consumers are of high quality based on these labels. product label: Based on store tags, it is accumulated based on the tags of people who browse, collect, purchase, and make transactions on products.

The relationship between the three is very clear. Store tags and  Phone Number List crowd tags that generate data for products affect product tags; store tags and product tags will react on crowd tags; product tags and crowd tags that have traffic through the store will in turn affect store tags.



Therefore, when the store labels are more accurate and the weight of the product crowd is higher, the traffic obtained will be more accurate, and the click rate, conversion rate, output value and other data will be better and better. These data will react on the accurate store labels and improve the products.