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    Acquiring public opinion and training word viscosity model
    3.
    发明授权
    Acquiring public opinion and training word viscosity model 有权

    公开(公告)号：US11610401B2

    公开(公告)日：2023-03-21

    申请号：US17206967

    申请日：2021-03-19

    Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.

    Inventor： Wenjun Zhang ,  Qiang Huang ,  Jun Fang ,  Xu Pan ,  Yuncong Li ,  Zhe Yang ,  Saiding Hong

    IPC: G06V20/40 ,  G06V40/16 ,  G06K9/62 ,  G06V30/10

    Abstract: A public opinion acquisition method and device, a word viscosity model training method and device, a server, and a medium are provided in the present disclosure. And the present disclosure relates to the technical field of artificial intelligence, specifically to image recognition and natural language processing, which can be used in a cloud platform. A video public opinion acquisition method includes: receiving a public opinion acquisition request, the public opinion acquisition request including a public opinion keyword to be acquired; matching the public opinion keyword to be acquired with video data including a recognition result, wherein the recognition result is obtained by performing predefined content recognition on the video data, the predefined content recognition including text recognition and image recognition; and determining video data that matches with the public opinion keyword to be acquired as result video data.

    MULTI-MODEL TRAINING BASED ON FEATURE EXTRACTION
    4.
    发明申请
    MULTI-MODEL TRAINING BASED ON FEATURE EXTRACTION 有权

    公开(公告)号：US20210234687A1

    公开(公告)日：2021-07-29

    申请号：US17208788

    申请日：2021-03-22

    Applicant: Beijing Baidu Netcom Science and Technology Co., Ltd.

    Inventor： Yangjie Zhou ,  Lianghui Chen ,  Jun Fang ,  Yan Fu

    IPC: H04L9/30 ,  G06N20/20 ,  G06N5/00

    Abstract: A method includes training, in collaboration with a plurality of collaborators, a plurality of tree models based on data of user samples shared with the plurality of collaborators; performing feature importance evaluation on the trained tree models for assigning weights to feature columns generated by respective ones of the tree models; in response to a determination that a linear model is to be trained in collaboration with a first collaborator of the plurality of collaborators, inputting data of a first user sample shared with the first collaborator into a first tree model of the plurality of tree models and one or more second tree models of the plurality of tree models to obtain a plurality of one-hot encoded feature columns; and screening the obtained feature columns based on the respective weights and training the linear model according to the screened feature columns and the data of the first user sample.

    Method and apparatus for querying shortest path of graph, and storage medium
    5.
    发明授权
    Method and apparatus for querying shortest path of graph, and storage medium 有权

    公开(公告)号：US11657091B2

    公开(公告)日：2023-05-23

    申请号：US16986120

    申请日：2020-08-05

    Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.

    Inventor： Le Deng ,  Kunbin Chen ,  Jun Fang

    IPC: G06F16/901 ,  G06F16/2455 ,  G06F16/28

    CPC classification number: G06F16/9024 ,  G06F16/24558 ,  G06F16/288

    Abstract: The present disclosure provides a method and an apparatus for querying the shortest path of a graph, and a storage medium. The method includes: performing a breadth-first search in a distributed graph database with a start entity to be searched and an end entity to be searched as root nodes respectively, and obtaining a layer of new entities for each search; performing an intersection checking on the new entities and entities of the highest layer from a search set on an opposite side, so as to determine whether an intersection between the new entities and the entities of the highest layer exists; and when the intersection exists, determining intersection points, and performing path backtracking through the intersection points to find the shortest path from the start entity to the end entity.

    FEDERATED LEARNING FOR IMPROVING MATCHING EFFICIENCY
    6.
    发明申请
    FEDERATED LEARNING FOR IMPROVING MATCHING EFFICIENCY 有权

    公开(公告)号：US20210398026A1

    公开(公告)日：2021-12-23

    申请号：US17461979

    申请日：2021-08-30

    Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.

    Inventor： Lianghui Chen ,  Yan Fu ,  Yangjie Zhou ,  Jun Fang

    IPC: G06N20/20 ,  H04L9/30

    Abstract: A method includes: sending, by one or more computers, in response to the number of data providers for federated learning being greater than a first threshold, a data field required for the federated learning to a coordinator, the coordinator comprising a computer; receiving, by one or more computers, from the coordinator, information about one or more data providers comprising the required data field, for determining the data providers comprising the required data field as the remaining data providers, wherein the coordinator stores a data field of each data provider; and performing, by one or more computers, federated learning-based modeling with each of the remaining data providers.

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