7 results about "Link relation" patented technology

The application discloses a social perception recommendation method under multi-category sensitive link relationship protection and relates to the technical field of big data analysis. The application generates vector representations of users and items by using a heterogeneous graph neural network, introduces a mask protection mechanism of multi-type edges, solves the privacy leakage problem of multiple types of sensitive links, and thus prevents reasoning attacks of attackers based on background knowledge. A heterogeneous social perception model based on a session is constructed based on a session and multi-type nodes, recommendation performance is improved, the problem that multi-type node information cannot effectively act on a recommendation model is solved, and the problem of limited data use in a real scene is solved.

The embodiment of the invention provides a link-based increment upgrading method and device, equipment and a medium. The method comprises the steps of determining an original mirror image of target software and an existing first increment mirror image for the target software; obtaining a second incremental mirror image currently used for performing incremental upgrading on the target software; establishing a target link relationship between the original mirror image and the second incremental mirror image and a target link relationship between the first incremental mirror image and the second incremental mirror image; and performing incremental upgrading on the target software according to the second incremental mirror image and the target link relationship. According to the embodiment of the invention, incremental upgrade can be completed on the basis of not modifying the file of the original mirror image, so that the problems of too large upgrade package, long upgrade time, long upgrade package transmission time and large demand for upgrade space during upgrade are avoided, or the problems of software exception, too large flash resource occupation and the like caused by modifying the original mirror image are avoided.

Even if the document data has not been pre-categorized, the system will determine the similarity between the document data and extract similar document data. [Solution] The system includes: acquisition means for acquiring document data having one or more items; word extraction means for extracting words from string data indicated in the items of the document data; vectorization means for vectorizing each of the string data based on the words in each of the string data; similarity calculation means for calculating the similarity between string data having the same item based on the vectors corresponding to each of the string data; and grouping means for selecting document data that have a direct and indirect linking relationship based on the similarity and a predetermined similarity threshold, and grouping each of the selected combinations with the linking relationship.

The application discloses an aero-engine software tracing and checking method and system, realizes full-process automatic tracing from requirement definition to final verification, shows the tracing relationship in an intuitive mode, improves the efficiency and quality of software development, and provides support for aero-engine software development and maintenance. The technical scheme is as follows: a link relationship is established: a plurality of requirement files and traced files are linked through different tools or methods, and the link relationship between high and low layer requirements and data is verified; after each source file with the link relationship is acquired, the source file is converted into an intermediate file through a converter, the intermediate file contains format information, the tracing relationship in the intermediate file is extracted by analyzing a keyword, and a coverage range is acquired; based on the tracing rule checking, the wrong tracing relationship is located and modified; and a visual view is formed according to the tracing relationship.