SYSTEM AND METHOD FOR GENERATING LOWER-DIMENSION GRAPH REPRESENTATIONS IN TALENT ACQUISITION PLATFORMS

    公开(公告)号:US20230281565A1

    公开(公告)日:2023-09-07

    申请号:US17686897

    申请日:2022-03-04

    摘要: A method for generating lower-dimension graph representations is disclosed. The may include obtaining a graph having at least one primary node, a plurality of secondary nodes, and a plurality of edges connecting the at least one primary node to the plurality of secondary nodes. Further, the method may include determining the graph as at least one of a sparse graph or a dense graph, using primary connectivity data and secondary connectivity data associated with the graph; and augmenting the graph with the secondary connectivity data to produce an augmented graph, based on the graph being the sparse graph. The secondary connectivity data may be indicative of a set of knowledge graphs associated with the plurality of secondary nodes. Furthermore, the method may include generating the lower-dimension graph representations for the augmented graph.

    SYSTEM AND METHOD FOR GENERATING ONE OR MORE EMBEDDINGS OF ONE OR MORE ENTITIES

    公开(公告)号:US20230281202A1

    公开(公告)日:2023-09-07

    申请号:US17686896

    申请日:2022-03-04

    发明人: Yu ZHOU

    IPC分类号: G06F16/2455 G06F16/2457

    CPC分类号: G06F16/24564 G06F16/24578

    摘要: A system for generating one or more embeddings of one or more entities is provided. The system is configured to input a set of data and corresponding set of attributes for a pair of entities into a rule-based model. The rule-based model is used to determine one or more similar data in the set of data and a similarity score for the pair of entities based on corresponding one or more attributes of the one or more similar data. The one or more similar data and the similarity score identify a similarity between the pair of entities. Further, a collaborative pair is generated for the pair of entities based on the one or more similar data and the similarity score. The generated collaborative pair and the similarity score are inputted to an embedding model that generates one or more embeddings for the entities.