Recommendation strategy considering precise matching of customized services of resident users

The invention discloses a recommendation strategy considering precise matching of customized services of residential users, and relates to the technical field of product recommendation. The method comprises the following steps: constructing a product incidence matrix and a user preference matrix based on product behavior historical data of a plurality of users; determining the class of the target user so as to determine a recommended product set; determining a matching degree between the target user and each to-be-recommended product in the to-be-recommended product set; determining a customized product recommendation table of the target user according to the matching degree; and determining the first second number of products in the customized product recommendation table as recommended products of the target user. According to the method, the customized product recommendation table of the target user is determined by calculating the matching degree between the target user and each to-be-recommended product