METHOD AND APPARATUS FOR GENERATING ELECTRONIC MAP, ELECTRONIC DEVICE AND STORAGE MEDIUM

    公开(公告)号:US20220282992A1

    公开(公告)日:2022-09-08

    申请号:US17717872

    申请日:2022-04-11

    Abstract: The present disclosure provides a method and apparatus for generating an electronic map, an electronic device and a storage medium, and relates to the field of data processing technology. A specific implementation comprises: establishing a plurality of groups of corresponding relationships between enterprise names and enterprise addresses using network data; determining respectively a fine-grained region where each enterprise address is located; and creating an enterprise electronic map of the fine-grained region based on the corresponding relationships between the enterprise names and the enterprise addresses and the fine-grained region where the each enterprise address is located. A corresponding relationship between an enterprise name and an enterprise address is established using existing network data.

    Method and Apparatus for Constructing Organizational Collaboration Network

    公开(公告)号:US20230230035A1

    公开(公告)日:2023-07-20

    申请号:US17940544

    申请日:2022-09-08

    Abstract: The present disclosure provides a method and apparatus for constructing an organizational collaboration network, and relates to the field of artificial intelligence, and particularly to the field of big data analysis. A specific implementation includes: acquiring collaborative data between at least one pair of organizations; calculating at least one collaboration index between each pair of organizations according to the collaborative data; calculating, for each pair of organizations, a degree of closeness between the pair of organizations according to a weighted sum of the at least one collaboration index between the pair of organizations; and using each organization as a node, a relationship between each pair of organizations as an edge, and the degree of closeness between each pair of organizations as a weight of the edge, to construct the organizational collaboration network.

    METHOD OF TRAINING PREDICTION MODEL, PREDICTION METHOD, ELECTRONIC DEVICE AND MEDIUM

    公开(公告)号:US20220269952A1

    公开(公告)日:2022-08-25

    申请号:US17739555

    申请日:2022-05-09

    Abstract: Provided are a method of training a prediction model, a prediction method, an electronic device and a medium, which relate to the field of artificial intelligence technology, and in particular, to the field of Big Data. A prediction model includes a main prediction model and an auxiliary prediction model, a training sample set includes a project information sample of a project and an item information sample of an item associated with the project, a project information sample includes a project property information and a project comment information, and an item information sample includes an item comment information. The method includes: inputting the project comment information to the auxiliary prediction model to obtain an initial prediction semantic information; training the main prediction model by using the project property information and the initial prediction semantic information; and training the auxiliary prediction model by using the item comment information.

    METHOD AND APPARATUS OF MATCHING DATA, DEVICE AND COMPUTER READABLE STORAGE MEDIUM

    公开(公告)号:US20220129856A1

    公开(公告)日:2022-04-28

    申请号:US17564363

    申请日:2021-12-29

    Abstract: The present disclosure provides a method and an apparatus of matching data, a device and a computer-readable storage medium, which are related to the field of artificial intelligence technology, and in particularly to the field of intelligent search and deep learning. The specific implementation solution includes: obtaining a first instance of a resume and a second instance of a job profile; determining, for a meta path, a resume feature data of the first instance and a profile feature data of the second instance, the meta path is a knowledge graph path from the resume to the job profile; and applying a classification model to the resume feature data of the first instance and the profile feature data of the second instance to determine a matching result between the first instance and the second instance.

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