Abstract: This application discloses an information recommendation method and apparatus, a device, and a storage medium, and belongs to the field of information recommendation. The method includes starting an application program according to a start operation, a first account being logged in in the application program; obtaining a recommended information flow for the first account, recommended information in the recommended information flow including at least one piece of interactive recommended information, the interactive recommended information being information for which a second account generates an interactive message, the first account and the second account having a social relationship; and displaying an information presentation interface, the information presentation interface comprising the recommended information displayed in an information flow form.

Abstract: This application discloses an information recommendation method and apparatus, a device, and a storage medium, and belongs to the field of information recommendation. The method includes starting an application program according to a start operation, a first account being logged in in the application program; obtaining a recommended information flow for the first account, recommended information in the recommended information flow including at least one piece of interactive recommended information, the interactive recommended information being information for which a second account generates an interactive message, the first account and the second account having a social relationship; and displaying an information presentation interface, the information presentation interface comprising the recommended information displayed in an information flow form.

Abstract: The disclosure generally relates to code recommendation. In one embodiment, code snippets may be extracted using an invocation-centered code slicing process and then grouped according to the method usages. For each method usage, a representative code snippet may be selected and stored in the knowledge base in association with metadata. In operation, the programming context may be obtained and used to query the knowledge base to retrieve one or more code snippets for recommendation. In one embodiment, the recommended code snippets may be ranked to improve the utility and user friendliness, and the metadata may be used to provide variation points and possibly other auxiliary information to improve the operation efficiency and user experience.

Abstract: The disclosure generally relates to code recommendation. In one embodiment, code snippets may be extracted using an invocation-centered code slicing process and then grouped according to the method usages. For each method usage, a representative code snippet may be selected and stored in the knowledge base in association with metadata. In operation, the programming context may be obtained and used to query the knowledge base to retrieve one or more code snippets for recommendation. In one embodiment, the recommended code snippets may be ranked to improve the utility and user friendliness, and the metadata may be used to provide variation points and possibly other auxiliary information to improve the operation efficiency and user experience.