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    Route planning method and wearable device
    2.
    发明授权
    Route planning method and wearable device 有权

    公开(公告)号：US10709934B2

    公开(公告)日：2020-07-14

    申请号：US16540401

    申请日：2019-08-14

    Applicant: Huawei Technologies Co., Ltd.

    Inventor： Ruiming Tang ,  Xiuqiang He ,  Zhenhua Dong ,  Zhirong Liu ,  Yanjie Li

    IPC: H04W24/00 ,  A63B24/00 ,  A61B5/11 ,  G01C22/00 ,  G06F1/16

    Abstract: A route planning method includes obtaining exercise capability information of a wearer and one or more candidate routes, where the candidate routes include attribute features that comprise historical exercise capability information, where the historical exercise capability information is information calculated according to a first preset rule and based on obtained exercise capability information of a plurality of users having exercised along the candidate routes; determining a target route based on the attribute features of the candidate routes and the exercise capability information of the wearer; and outputting the target route information.

    Theme recommendation method and apparatus
    3.
    发明授权
    Theme recommendation method and apparatus 有权

    公开(公告)号：US11830033B2

    公开(公告)日：2023-11-28

    申请号：US16198704

    申请日：2018-11-21

    Applicant: HUAWEI TECHNOLOGIES CO., LTD.

    Inventor： Zhirong Liu ,  Ruiming Tang ,  Zhenhua Dong ,  Xiuqiang He ,  Guoxiang Cao

    IPC: G06Q30/02 ,  G06Q30/06 ,  G06F16/28 ,  G06Q30/0251 ,  G06Q30/0601

    CPC classification number: G06Q30/0255 ,  G06F16/285 ,  G06Q30/0251 ,  G06Q30/0631

    Abstract: The method includes: collecting historical operations of sample users for M items, and predicting a preference value of a target user for each of the M items according to historical operations of the sample users for each of the M items, collecting classification data of N to-be-recommended items, and classifying the N to-be-recommended items according to the classification data of the N to-be-recommended items, to obtain X themes, where each of the X themes includes at least one of the N to-be-recommended items, and the N to-be-recommended items are some or all of the M items; calculating a preference value of the target user for each of the X themes according to a preference value of the target user for a to-be-recommended item included in each of the X themes; and pushing a target theme to the target user.

    Theme recommendation method and apparatus
    4.
    发明授权
    Theme recommendation method and apparatus 有权

    公开(公告)号：US11734716B2

    公开(公告)日：2023-08-22

    申请号：US16198704

    申请日：2018-11-21

    Applicant: HUAWEI TECHNOLOGIES CO., LTD.

    Inventor： Zhirong Liu ,  Ruiming Tang ,  Zhenhua Dong ,  Xiuqiang He ,  Guoxiang Cao

    IPC: G06Q30/02 ,  G06Q30/06 ,  G06F16/28 ,  G06Q30/0251 ,  G06Q30/0601

    CPC classification number: G06Q30/0255 ,  G06F16/285 ,  G06Q30/0251 ,  G06Q30/0631

    Abstract: The method includes: collecting historical operations of sample users for M items, and predicting a preference value of a target user for each of the M items according to historical operations of the sample users for each of the M items, collecting classification data of N to-be-recommended items, and classifying the N to-be-recommended items according to the classification data of the N to-be-recommended items, to obtain X themes, where each of the X themes includes at least one of the N to-be-recommended items, and the N to-be-recommended items are some or all of the M items; calculating a preference value of the target user for each of the X themes according to a preference value of the target user for a to-be-recommended item included in each of the X themes; and pushing a target theme to the target user.

    Recommendation Model Training Method and Related Apparatus
    5.
    发明申请
    Recommendation Model Training Method and Related Apparatus 有权

    公开(公告)号：US20210326729A1

    公开(公告)日：2021-10-21

    申请号：US17360581

    申请日：2021-06-28

    Applicant: Huawei Technologies Co., Ltd.

    Inventor： Hong Zhu ,  Zhenhua Dong ,  Ruiming Tang ,  Yuzhou Zhang ,  Li Qian

    IPC: G06N5/04 ,  G06N20/00

    Abstract: A recommendation model training method includes selecting a positive sample in a sample set, and adding the positive sample to a training set, where the sample set includes the positive sample and negative samples, each sample includes n sample features, n≥1, and the sample features of each sample include a feature used to represent whether the sample is a positive sample or a negative sample, calculating sampling probabilities of the negative samples in the sample set by using a preset algorithm, selecting a negative sample from the sample set based on the sampling probability, and adding the negative sample to the training set, and performing training by using the samples in the training set, to obtain a recommendation model.

    FAULT LOCATING METHOD, APPARATUS, AND SYSTEM
    6.
    发明申请
    FAULT LOCATING METHOD, APPARATUS, AND SYSTEM 有权

    公开(公告)号：US20230052962A1

    公开(公告)日：2023-02-16

    申请号：US17976558

    申请日：2022-10-28

    Applicant: HUAWEI TECHNOLOGIES CO., LTD.

    Inventor： Zhenhua Dong ,  Xiaolong Dong

    IPC: H04B10/071 ,  H04B10/61 ,  H04B10/077

    Abstract: This application relates to the field of fiber-optic communication technologies, and provides a fault locating method, apparatus, and system. The method includes: obtaining a first correspondence between a receive time and receive power during reverse backhaul that occurs when a test optical signal that can be reflected by a reflection component disposed at each port of at least one stage of optical splitter is in downlink transmission in an ODN, where reverse backhaul includes backscatter and reflection or includes backscatter; determining, based on the first correspondence, a second correspondence between a transmission distance and receive power during reverse backhaul that occurs when a test optical signal is in downlink transmission in an optical fiber between each port of the at least one stage of optical splitter and a component connected to the port; and locating a fault in the ODN based on the second correspondence.

    Recommendation Method and Apparatus
    7.
    发明申请
    Recommendation Method and Apparatus 审中-公开

    公开(公告)号：US20200272913A1

    公开(公告)日：2020-08-27

    申请号：US15931224

    申请日：2020-05-13

    Applicant: Huawei Technologies Co., Ltd.

    Inventor： Jinkai Yu ,  Ruiming Tang ,  Zhenhua Dong ,  Yuzhou Zhang ,  Weiwen Liu ,  Li Qian

    IPC: G06N5/04 ,  G06N20/00

    Abstract: A recommendation method includes generating a feature sequence based on to-be-predicted data of a user for a target object and according to a preset encoding rule, obtaining probability distribution information corresponding to each feature in the feature sequence, and obtaining, through calculation, a feature vector corresponding to each feature, obtaining a predicted score of the user for the target object based on values of N features and a feature vector corresponding to each of the N features, and recommending the target object to the user when the predicted score is greater than or equal to a preset threshold.

    Application Program Recommending Method, And Terminal
    9.
    发明申请
    Application Program Recommending Method, And Terminal 审中-公开
    应用程序推荐方法和终端

    公开(公告)号：US20160110649A1

    公开(公告)日：2016-04-21

    申请号：US14977991

    申请日：2015-12-22

    Applicant: Huawei Technologies Co., Ltd.

    Inventor： Zhenhua Dong ,  Xiuqiang He ,  Gong Zhang ,  Guoxiang Cao

    IPC: G06N5/04 ,  G06N99/00 ,  G06F17/30

    CPC classification number: G06N5/046 ,  G06F16/24575 ,  G06F16/9535 ,  G06N20/00 ,  H04W4/50

    Abstract: An application program recommending method may include acquiring current context information of the terminal, acquiring an amount of context information generated when the terminal runs a first application program, where the first application program refers to an application program stored in the terminal, determining a to-be-used recommending mechanism according to the amount of the context information generated when the terminal runs the first application program, and determining, according to the to-be-used recommending mechanism, a second application program corresponding to the current context information, where the second application program refers to a to-be-recommended application program; and displaying the second application program. In this way, accuracy of predicting an application program to be used by a user is improved. Moreover, when historical information of using an application program by the user is insufficient, a to-be-recommended application program can also be accurately determined.

    Abstract translation: 应用程序推荐方法可以包括获取终端的当前上下文信息，获取当终端运行第一应用程序时产生的上下文信息的量，其中第一应用程序参考存储在终端中的应用程序， 根据当终端运行第一应用程序时生成的上下文信息的量，根据所使用的推荐机制确定与当前上下文信息相对应的第二应用程序，其中， 第二个应用程序是指一个要推荐的应用程序; 并显示第二应用程序。 以这种方式，提高了用户使用的预测应用程序的精度。 此外，当使用用户的应用程序的历史信息不足时，还可以准确地确定要推荐的应用程序。

    Fault locating method, apparatus, and system
    10.
    发明授权
    Fault locating method, apparatus, and system 有权

    公开(公告)号：US12231162B2

    公开(公告)日：2025-02-18

    申请号：US17976558

    申请日：2022-10-28

    Applicant: HUAWEI TECHNOLOGIES CO., LTD.

    Inventor： Zhenhua Dong ,  Xiaolong Dong

    IPC: H04B10/071 ,  H04B10/077 ,  H04B10/61

    Abstract: This application relates to the field of fiber-optic communication technologies, and provides a fault locating method, apparatus, and system. The method includes: obtaining a first correspondence between a receive time and receive power during reverse backhaul that occurs when a test optical signal that can be reflected by a reflection component disposed at each port of at least one stage of optical splitter is in downlink transmission in an ODN, where reverse backhaul includes backscatter and reflection or includes backscatter; determining, based on the first correspondence, a second correspondence between a transmission distance and receive power during reverse backhaul that occurs when a test optical signal is in downlink transmission in an optical fiber between each port of the at least one stage of optical splitter and a component connected to the port; and locating a fault in the ODN based on the second correspondence.

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