A user behavior recognition method, comprising: sending, by a first user equipment (400, 610, 700) of a user, a data download request to a behavior recognition server, wherein the data download request comprises an identifier of a target user behavior, the target user behavior refers to an activity status of the user or refers to a scenario that the user is in, or a combination of an activity status of the user and a scenario that the user is in; and receiving, by the first user equipment (400, 610, 700), statistical distribution information of a target parameter that is determined by the behavior recognition server according to the identifier of the target user behavior, the statistical distribution information of the target parameter is determined by the behavior recognition server according to values of the target parameter in multiple behavior recognition models of the target user behavior, the multiple behavior recognition models are sent by multiple other user equipments of other users to the behavior recognition server; and creating and saving, by the first user equipment (400, 610, 700) according to the statistical distribution information of the target parameter received from the behavior recognition server, a behavior recognition model of the target user behavior that is corresponding to the first user equipment (400, 610, 700) in order to recognize the target user behavior, wherein the behavior recognition server groups the first user equipment (400, 610, 700) as well as the multiple other user equipments into a plurality of user groups, and determines the statistical distribution information of the target parameter for each one of the user groups, the grouped is done according to one or more of the following factors: an profession, an age, a gender, and a residence that are of a user of a respective one of the multiple other user equipments and the user of the first user equipment (400, 610, 700), and the method further comprises: sending, by the first user equipment (400, 610, 700), user data to the behavior recognition server, so that the behavior recognition server determines the user group the first user equipment (400, 610, 700) belongs to according to the sent user data. sending, by a first user equipment (400, 610, 700) of a user, a data download request to a behavior recognition server, wherein the data download request comprises an identifier of a target user behavior, the target user behavior refers to an activity status of the user or refers to a scenario that the user is in, or a combination of an activity status of the user and a scenario that the user is in; and receiving, by the first user equipment (400, 610, 700), statistical distribution information of a target parameter that is determined by the behavior recognition server according to the identifier of the target user behavior, the statistical distribution information of the target parameter is determined by the behavior recognition server according to values of the target parameter in multiple behavior recognition models of the target user behavior, the multiple behavior recognition models are sent by multiple other user equipments of other users to the behavior recognition server; and creating and saving, by the first user equipment (400, 610, 700) according to the statistical distribution information of the target parameter received from the behavior recognition server, a behavior recognition model of the target user behavior that is corresponding to the first user equipment (400, 610, 700) in order to recognize the target user behavior, wherein the behavior recognition server groups the first user equipment (400, 610, 700) as well as the multiple other user equipments into a plurality of user groups, and determines the statistical distribution information of the target parameter for each one of the user groups, the grouped is done according to one or more of the following factors: an profession, an age, a gender, and a residence that are of a user of a respective one of the multiple other user equipments and the user of the first user equipment (400, 610, 700), and the method further comprises: sending, by the first user equipment (400, 610, 700), user data to the behavior recognition server, so that the behavior recognition server determines the user group the first user equipment (400, 610, 700) belongs to according to the sent user data.