Abstract: A recommendation model training method includes: acquiring first preference information corresponding to users for a first object, the first object being an object on which the users have performed a designated operation; determining second preference information corresponding to users for a second object, the second object being an object on which the users have not performed a designated operation; correcting the first and second preference information based on preference features of users for an object and correlation features between objects and the users, to obtain third preference information of the users for the objects; generating training data based on the third preference information, a user attribute of a target user, an object attribute of a target object, and operation information of the target user for the target object; and performing iterative training on a target recommendation model based on the training data until a training condition is satisfied.