Abstract: A route planning method includes obtaining exercise capability information of a wearer and one or more candidate routes, where the candidate routes include attribute features that comprise historical exercise capability information, where the historical exercise capability information is information calculated according to a first preset rule and based on obtained exercise capability information of a plurality of users having exercised along the candidate routes; determining a target route based on the attribute features of the candidate routes and the exercise capability information of the wearer; and outputting the target route information.

Abstract: An application sorting method and apparatus are provided. The method includes: obtaining, a positive operation probability and positive operation feedback information of each of at least two data samples; calculating an uncertainty parameter of a positive operation probability of a first data sample based on the positive operation probabilities and the positive operation feedback information of the at least two data samples and feature indication information of at least one same feature in a plurality of features in the at least two data samples; and correcting the positive operation probability of the first data sample by using the uncertainty parameter of the positive operation probability; and sorting, based on corrected positive operation probabilities, application programs corresponding to the at least two data samples.

Abstract: An application program recommending method may include acquiring current context information of the terminal, acquiring an amount of context information generated when the terminal runs a first application program, where the first application program refers to an application program stored in the terminal, determining a to-be-used recommending mechanism according to the amount of the context information generated when the terminal runs the first application program, and determining, according to the to-be-used recommending mechanism, a second application program corresponding to the current context information, where the second application program refers to a to-be-recommended application program; and displaying the second application program. In this way, accuracy of predicting an application program to be used by a user is improved. Moreover, when historical information of using an application program by the user is insufficient, a to-be-recommended application program can also be accurately determined.

Abstract: A social message monitoring method is implemented by receiving, from a social network server, a social message, and obtaining a theme probability vector of the social message, comparing the theme probability vector of the social message with a theme probability vector of each representative message to obtain a theme similarity, and acquiring a similarity between the social message and each representative message according to the theme similarity, and saving the social message in a message class that contains a representative message most similar to the social message, and outputting the message class to a social network client when a quantity of social messages in the message class reaches a first threshold or themes of social messages in the message class are consistent.

Abstract: The method includes: collecting historical operations of sample users for M items, and predicting a preference value of a target user for each of the M items according to historical operations of the sample users for each of the M items, collecting classification data of N to-be-recommended items, and classifying the N to-be-recommended items according to the classification data of the N to-be-recommended items, to obtain X themes, where each of the X themes includes at least one of the N to-be-recommended items, and the N to-be-recommended items are some or all of the M items; calculating a preference value of the target user for each of the X themes according to a preference value of the target user for a to-be-recommended item included in each of the X themes; and pushing a target theme to the target user.

Abstract: An advertisement management server in a communication system receives information of advertisements, determines an advertising value calculation policy, estimates a value of an advertising value element according to the information of each advertisement, calculates a value of each advertisement using the value of the advertising value element and the advertising value calculation policy as reference factors. The server instructs the communication system to broadcast the advertisements for displaying on the user terminals according to the calculated value of each advertisement.

Abstract: A recommendation result generation method, where the method includes obtaining article content information of at least one article and user score information of at least one user, where user score information of a first user of the at least one user includes a historical score of the first user for the at least one article, encoding the article content information and the user score information using an article neural network and a user neural network respectively to obtain a target article latent vector of each of the at least one article and a target user latent vector of each of the at least one user, and calculating a recommendation result for each user according to the article latent vector and the user latent vector.

Abstract: A method and a system for processing lifelong learning of a terminal, and an apparatus is presented. The method for processing lifelong learning of a terminal according to the present disclosure includes sending, to a server, a request for downloading a function module, where the download request includes description information of the function module; receiving the function module that is sent by the server and is corresponding to the description information; and using the function module to expand and/or update a local function. According to the embodiments of the present disclosure, the lifelong learning of the terminal is implemented, and a problem in the prior art that the terminal cannot perform function expansion and updating is resolved.

Abstract: The present invention discloses a method and system for recognizing a user activity type, where the method includes: collecting an image of a location in which a user is located; extracting, from the image, characteristic data of an environment in which the user is located and characteristic data of the user; and obtaining, by recognition, an activity type of the user by using an image recognition model related to an activity type or an image library related to an activity type and the characteristic data.

Abstract: A method and a system for processing lifelong learning of a terminal, and an apparatus is presented. The method for processing lifelong learning of a terminal according to the present disclosure includes sending, to a server, a request for downloading a function module, where the download request includes description information of the function module; receiving the function module that is sent by the server and is corresponding to the description information; and using the function module to expand and/or update a local function. According to the embodiments of the present disclosure, the lifelong learning of the terminal is implemented, and a problem in the prior art that the terminal cannot perform function expansion and updating is resolved.

Abstract: A social message monitoring method is implemented by receiving, from a social network server, a social message, and obtaining a theme probability vector of the social message, comparing the theme probability vector of the social message with a theme probability vector of each representative message to obtain a theme similarity, and acquiring a similarity between the social message and each representative message according to the theme similarity, and saving the social message in a message class that contains a representative message most similar to the social message, and outputting the message class to a social network client when a quantity of social messages in the message class reaches a first threshold or themes of social messages in the message class are consistent.

Abstract: An application program recommending method may include acquiring current context information of the terminal, acquiring an amount of context information generated when the terminal runs a first application program, where the first application program refers to an application program stored in the terminal, determining a to-be-used recommending mechanism according to the amount of the context information generated when the terminal runs the first application program, and determining, according to the to-be-used recommending mechanism, a second application program corresponding to the current context information, where the second application program refers to a to-be-recommended application program; and displaying the second application program. In this way, accuracy of predicting an application program to be used by a user is improved. Moreover, when historical information of using an application program by the user is insufficient, a to-be-recommended application program can also be accurately determined.

Abstract: The present invention discloses a method and system for recognizing a user activity type, where the method includes: collecting an image of a location in which a user is located; extracting, from the image, characteristic data of an environment in which the user is located and characteristic data of the user; and obtaining, by recognition, an activity type of the user by using an image recognition model related to an activity type or an image library related to an activity type and the characteristic data.

Abstract: A method for determining a target user, includes: for any target service, acquiring historical data of multiple behavior objects that belong to a same service type as the target service; establishing a correspondence between user identifiers of different users and behavior object identifiers of different behavior objects of the same type; based on multiple established correspondences, constructing a data model that includes a user identifier and a behavior object identifier; using a value update rule to obtain, by means of calculation, a value of a probability that a user corresponding to each user identifier becomes a target user of the target service; and further using the value of the probability to select a target user of the target service, which can not only determine a target user group in a relatively open manner, but also effectively improve accuracy of and efficiency in determining a target user.

Abstract: Embodiments of the present invention disclose a navigation method and a navigation device, which are used to exchange information between different motorists, so that the navigation device can keep abreast of a latest road condition. The method in the embodiments of the present invention includes: acquiring a first destination of a first navigation device; determining a second navigation device, where a distance between a second destination of the second navigation device and the first destination of the first navigation device is less than a first preset distance; and establishing a communication connection between the first navigation device and the second navigation device. In the embodiments of the present invention, different navigation devices can exchange information with each other, so that the navigation devices can keep abreast of the latest road condition.

Abstract: Embodiments of the present invention provide a method and device for synthesis of network traffic. The method includes extracting a first real traffic composition parameter sequence and a second real traffic composition parameter sequence from real traffic. A first synthetic traffic composition parameter sequence is generated. Relational coefficients between first traffic composition parameters and second traffic composition parameters are obtained. A second synthetic traffic composition parameter sequence is generated and synthetic traffic is generated according to the first synthetic traffic composition parameter sequence and the second synthetic traffic composition parameter sequence.

Abstract: A user verification processing method, a user equipment, and a server, where the method includes: receiving from a server a notification message that includes an action verification code instruction; obtaining sensor data generated when a user performs an action corresponding to the action verification code instruction; and feeding back verification information to the server according to the sensor data. The user verification processing method, the user equipment, and the server provided in the embodiments of the present invention can increase difficulty of cracking a verification code and improve security of the verification code.

Abstract: Embodiments of the present invention provide a method and device for synthesis of network traffic. The method includes extracting a first real traffic composition parameter sequence and a second real traffic composition parameter sequence from real traffic. A first synthetic traffic composition parameter sequence is generated. Relational coefficients between first traffic composition parameters and second traffic composition parameters are obtained. A second synthetic traffic composition parameter sequence is generated and synthetic traffic is generated according to the first synthetic traffic composition parameter sequence and the second synthetic traffic composition parameter sequence.