1. An application recommending method, comprising: acquiring a first behavior eigenvalue according to behavior data of a first user; determining at least one second user from a user relationship chain of the first user according to the first behavior eigenvalue, the second user being on the user relationship chain of the first user, a degree of similarity between a second behavior eigenvalue and the first behavior eigenvalue being greater than a preset threshold, and the second behavior eigenvalue being a behavior eigenvalue of the second user; and determining a to-be-recommended application for the first user on the basis of behavior data of the at least one second user.