Product recommendation system and method for cross-border e-commerce platform

The invention relates to the technical field of data processing, in particular to a product recommendation system and method for a cross-border e-commerce platform. The data processing module is used for calculating and processing the first-level operation characteristic data of the browsing page so as to output second-level operation characteristic data of the browsing page; the product updating module comprises a portrait generation unit used for generating a user portrait according to the user feature data and the page browsing data of the user, and a product recommendation unit connected with the portrait generation unit and used for scheduling to-be-recommended product information corresponding to the user portrait to a browsing page; and the control module is used for determining a corresponding updating mode of the product recommendation unit according to the proportion of the order number of the products, or determining a portrait classification mode of the portrait generation unit according to the pr