Please select the most similar patent number from A, B, C and D. Which number is?
A method and apparatus for generating a user portrait, and a storage medium and an electronic device, which relate to the technical field of big data processing. The method comprises: determining user labels of a target user in a plurality of different dimensions according to disease information and daily life information; determining the current exercise schedule and the current diet schedule of the target user according to the user labels in the different dimensions and daily behavior information of the target user; constructing a target schedule according to the current exercise schedule and the current diet schedule, and generating a user portrait of the target user according to the target schedule, a preset exercise category and a food category; and matching a standard diet scheme and a standard exercise scheme for the target user according to the user portrait, and sending the standard diet scheme and the standard exercise scheme to a terminal device of the target user. The accuracy of a standard diet scheme and a standard exercise scheme is improved.
A: The present application relates to the technical field of electronic devices. Disclosed are a push content processing method and apparatus, and an electronic device and a storage medium. The method is applied to the electronic device, and comprises: an electronic device receives push content to be displayed to a target user; obtaining a user matching a user portrait of a target user as a reference user according to the user portrait of the target user; obtaining a conversion rate of the reference user for the push content as a reference conversion rate; and determining a processing mode of the push content on the basis of the reference conversion rate. According to the push content processing method and apparatus, and the electronic device and the storage medium provided in embodiments of the present application, when the push content is received, the reference user is obtained according to the user portrait, the reference conversion rate of the reference user for the push content is obtained, and the processing mode of the push content is determined on the basis of the reference conversion rate, so that the conversion rate of the displayed push content and user experience are improved.
B: Provided by the present application is a method for directionally recommending a user, comprising the following steps: acquiring characteristic information of a current user, and constructing a user portrait according to the characteristic information; acquiring characteristic information to be matched that is configured by the current user; determining whether a target user having a user portrait that matches the user portrait of the current user and that has characteristic information that matches the characteristic information to be matched is present in a set of users to be selected; when a target user having a user portrait that matches the user portrait of the current user and that has characteristic information that matches the characteristic information to be matched is present, pushing a message comprising the characteristic information of the target user to the current user. The present application may recommend the optimal matching user to a current user according to characteristic information of the current user so as to improve the satisfaction of users during residency, while an owner and tenant may know each other better by means of the portrait of the other, thereby increasing the degree of trust between the owner and tenant, thus facilitating a house lease transaction between the owner and tenant.
C: A multi-knowledge graph based intelligent reply method and apparatus, a computer device and a storage medium, related to big data and knowledge graphs. The method comprises: if another intelligent session connection instruction sent by a client is detected, obtaining a target user portrait corresponding to another intelligent session connection instruction (S107); determining whether the target user portrait is correspondingly bound with a first output result or not (S108); and if a first output result is bound in the target user portrait, obtaining a corresponding third current association problem set from a local second knowledge graph library according to the first output result, and sending the third current association problem set to the client (S109). According to the method, the association problem set is called in different knowledge graph libraries according to key entity names corresponding to the user portraits, corresponding information is correspondingly recommended to the users with different knowledge mastering degrees, and the information acquisition efficiency and accuracy of the users can be effectively improved.
D: An information processing method, apparatus and device, which relate to the field of data processing, making a recommended training plan better meet the requirements of a user for a training effect. The method comprises: acquiring data of a target user, wherein the data of the target user comprises health data, attribute data, evaluation data, and training data of the target user in a candidate training program, and an improvement value of the evaluation data of the target user within a first pre-set time period is greater than 0; forming a training program recommendation model according to the data of the target user; acquiring data of a user to be recommended, wherein the data of the user to be recommended comprises health data, attribute data, and evaluation data; and according to the data of the user to be recommended and the training program recommendation model, generating a recommended training program for the user to be recommended.
Answer: D