Intelligent recommendation method and system for e-commerce platform products

The invention belongs to the field of e-commerce product recommendation, and particularly relates to an intelligent recommendation method and system for e-commerce platform products, and the method comprises the following steps: S1, collecting the information of products sold by an e-commerce platform in the past, dividing different products into different categories, and achieving the induction of similar products; s2, collecting age information of users who purchase different commodities so as to distinguish product categories that people of different age groups like to purchase; s3, user evaluation information of commodities sold by an e-commerce platform in the past is collected, products with good evaluation are recommended preferentially, and commodities with poor evaluation are subjected to off-shelf processing; according to the intelligent recommendation method, products suitable for the user can be automatically recommended according to people of different ages, and good products can be preferentiall