Commodity recommendation method and system based on user information processing

The invention belongs to the technical field of internet and intelligent marketing, and particularly provides a commodity recommendation method and system based on user information processing, and the method comprises the steps: S11, responding to the operation that a user opens a shopping APP and continuously touches, and judging whether the user logs in the shopping APP or not; if yes, entering the step S22; if not, entering the step S55; s22, in response to the received recommendation strategy update notification sent by the server, the user terminal sends a strategy query request to the server based on the current login time period; s33, the user terminal receives a first recommendation strategy issued by the server based on the strategy query request; s44, the shopping APP displays recommended commodities to the user based on the first recommendation strategy; s55, determining a second recommendation strategy based on the current operation time period of the user; and SS6, the shopping APP displays recom