Abstract: Disclosed are a Bluetooth connection method and a television. The method may comprise: in response to a connection command for establishing a Bluetooth connection with a target Bluetooth device, determining a screen state of a display apparatus, wherein the screen state comprises a screen-on state or a screen-off state; if the screen state of the display apparatus is the screen-on state, establishing a Bluetooth connection with the target Bluetooth device; and if the screen state of the display apparatus is a screen-off state, forbidding the establishment of a Bluetooth connection with the target Bluetooth device. In the disclosure, a display apparatus establishes a connection with a Bluetooth device only when the screen state of the display apparatus is a screen-on state, thereby avoiding the situation where the display apparatus establishes a connection with the Bluetooth device when the display apparatus is in screen-off state.

Abstract: Disclosed are a Bluetooth connection method and a television. The method may comprise: in response to a connection command for establishing a Bluetooth connection with a target Bluetooth device, determining a screen state of a display apparatus, wherein the screen state comprises a screen-on state or a screen-off state; if the screen state of the display apparatus is the screen-on state, establishing a Bluetooth connection with the target Bluetooth device; and if the screen state of the display apparatus is a screen-off state, forbidding the establishment of a Bluetooth connection with the target Bluetooth device. In the disclosure, a display apparatus establishes a connection with a Bluetooth device only when the screen state of the display apparatus is a screen-on state, thereby avoiding the situation where the display apparatus establishes a connection with the Bluetooth device when the display apparatus is in screen-off state.

Abstract: A user keyword extraction method based on a social network includes: acquiring blog posts having been posted by a target user within a preset time interval, and performing word segmentation to acquire a word list of each blog post; inputting the acquired word list corresponding to each blog post into a Word2Vec model for training to acquire a word vector model; extracting keywords corresponding to the blog posts based on a keyword extraction algorithm to form a candidate keyword set of the target user, calculating a word vector of each keyword in the candidate keyword set based on the word vector model, and constructing a semantic similarity graph; and running a Pagerank algorithm on the semantic similarity graph to score the keywords so as to acquire interest keywords of the user. This application also provides a user keyword extraction device based on a social network, and a computer-readable storage medium.

Abstract: Embodiments of this application include an identification code pulling method, a storage medium, a terminal device, and a server, applied to the field of communications technologies. In the identification code pulling method, a user input corresponding to a request for an identification code is received. A device authorization message of an application client is obtained based on the user input corresponding to the request for the identification code. A pull request for the identification code is generated. The pull request includes a user identifier, device information, and the device authorization message of the application client. The pull request is transmitted to an application platform. Further, identification code information corresponding to the identification code is received from the application platform when the user identifier, the device information, and the device authorization message are verified by the application platform.