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    Method and system for personalized advertisement push based on user interest learning
    1.
    发明授权
    Method and system for personalized advertisement push based on user interest learning 有权
    基于用户兴趣学习的个性化广告推送方法与系统

    公开(公告)号：US08750602B2

    公开(公告)日：2014-06-10

    申请号：US13709795

    申请日：2012-12-10

    Applicant: Huawei Technologies Co., Ltd.

    Inventor： Jia Li ,  Yunchao Gao ,  Haonan Yu ,  Jun Zhang ,  Yonghong Tian ,  Jun Yan

    IPC: G06K9/62

    CPC classification number: G06K9/46 ,  G06F17/3079 ,  G06K9/628 ,  G06Q30/00

    Abstract: Embodiments of the present invention relate to a method and a system for personalized advertisement push based on user interest learning. The method may include: obtaining multiple user interest models through multitask sorting learning; extracting an object of interest in a video according to the user interest models; and extracting multiple visual features of the object of interest, and according to the visual features, retrieving related advertising information in an advertisement database. Through the method and the system provided in embodiments of the present invention, a push advertisement may be closely relevant to the content of the video, thereby meeting personalized requirements of a user to a certain extent and achieving personalized advertisement push.

    Abstract translation: 本发明的实施例涉及一种基于用户兴趣学习的个性化广告推送的方法和系统。 该方法可以包括：通过多任务排序学习获得多个用户兴趣模型; 根据用户兴趣模型提取视频中的感兴趣对象; 并且提取所述感兴趣对象的多个视觉特征，并且根据所述视觉特征，在广告数据库中检索相关广告信息。 通过本发明实施例提供的方法和系统，推送广告可以与视频的内容密切相关，从而在一定程度上满足用户的个性化需求并实现个性化广告推送。

    Data processing for managing local and distributed storage systems by scheduling information corresponding to data write requests
    2.
    发明授权
    Data processing for managing local and distributed storage systems by scheduling information corresponding to data write requests 有权

    公开(公告)号：US10552089B2

    公开(公告)日：2020-02-04

    申请号：US16102281

    申请日：2018-08-13

    Applicant: Huawei Technologies Co., Ltd.

    Inventor： Weihua Shan ,  Jia Li ,  Yang Dong

    IPC: G06F3/06

    Abstract: A data processing method to improve data storage flexibility includes receiving, by a first storage management device, a data write request generated by a host, where the host is provided with the first storage management device, determining, by the first storage management device according to the data write request, scheduling information corresponding to the data write request, where the data write request includes to-be-written data, and the scheduling information corresponding to the data write request indicates a distributed storage pool, or a local storage device of the host, and processing, by the first storage management device, the to-be-written data according to the scheduling information corresponding to the data write request.

    METHOD AND SYSTEM FOR PERSONALIZED ADVERTISEMENT PUSH BASED ON USER INTEREST LEARNING
    3.
    发明申请
    METHOD AND SYSTEM FOR PERSONALIZED ADVERTISEMENT PUSH BASED ON USER INTEREST LEARNING 有权
    基于用户兴趣的个性化广告推送方法与系统

    公开(公告)号：US20130094756A1

    公开(公告)日：2013-04-18

    申请号：US13709795

    申请日：2012-12-10

    Applicant: Huawei Technologies Co., Ltd.

    Inventor： Jia Li ,  Yunchao Gao ,  Haonan Yu ,  Jun Zhang ,  Yonghong Tian ,  Jun Yan

    IPC: G06K9/46

    CPC classification number: G06K9/46 ,  G06F17/3079 ,  G06K9/628 ,  G06Q30/00

    Abstract: Embodiments of the present invention relate to a method and a system for personalized advertisement push based on user interest learning. The method may include: obtaining multiple user interest models through multitask sorting learning; extracting an object of interest in a video according to the user interest models; and extracting multiple visual features of the object of interest, and according to the visual features, retrieving related advertising information in an advertisement database. Through the method and the system provided in embodiments of the present invention, a push advertisement may be closely relevant to the content of the video, thereby meeting personalized requirements of a user to a certain extent and achieving personalized advertisement push.

    Abstract translation: 本发明的实施例涉及一种基于用户兴趣学习的个性化广告推送的方法和系统。 该方法可以包括：通过多任务排序学习获得多个用户兴趣模型; 根据用户兴趣模型提取视频中的感兴趣对象; 并且提取所述感兴趣对象的多个视觉特征，并且根据所述视觉特征，在广告数据库中检索相关广告信息。 通过本发明实施例提供的方法和系统，推送广告可以与视频的内容密切相关，从而在一定程度上满足用户的个性化需求并实现个性化广告推送。

    Resource scheduling method, base station, scheduler, program source server, and system
    5.
    发明授权
    Resource scheduling method, base station, scheduler, program source server, and system 有权

    公开(公告)号：US10440681B2

    公开(公告)日：2019-10-08

    申请号：US15965058

    申请日：2018-04-27

    Applicant: HUAWEI TECHNOLOGIES CO., LTD.

    Inventor： Jia Li ,  Jianhui Yao ,  Jun Zhang ,  Kai Yan

    IPC: H04W72/00 ,  H04W4/06 ,  H04L12/18

    Abstract: Embodiments relate to a resource scheduling method, a base station, a scheduler, a program source server, and a system. A method includes receiving, a session start request message comprising carries an SAI corresponding to a program source from a program source server; sending the session start request message to a base station corresponding to the SAI; receiving a session start response message from the base station; adding the base station to an IP multicast group; sending a resource scheduling message comprising information about a MA resource allocated to the program source to the base station; and receiving a resource scheduling response message from the base station.

    Resource Scheduling Method and Related Apparatus
    6.
    发明申请
    Resource Scheduling Method and Related Apparatus 审中-公开

    公开(公告)号：US20190391847A1

    公开(公告)日：2019-12-26

    申请号：US16558983

    申请日：2019-09-03

    Applicant: Huawei Technologies Co., Ltd.

    Inventor： Jia Li ,  Jie Liu ,  Lifei Dang ,  Lingzhi Mao

    IPC: G06F9/48 ,  G06F9/54 ,  G06F12/08 ,  G06F3/06 ,  G06F9/38 ,  G06F12/0871 ,  G06F12/123

    Abstract: A resource scheduling method and a related resource scheduling apparatus to improve data input/output (I/O) efficiency, where the method includes determining a current task queue, where the current task queue includes a plurality of to-be-executed application tasks, determining, for data blocks on a disk to be accessed by the application tasks, a quantity of times that each data block is to be accessed by the application tasks, determining a hotspot data block according to the quantity of times that each data block is to be accessed by the application tasks, and sending a move-in instruction to a local node of the hotspot data block, where the move-in instruction instructs to move the hotspot data block into a memory such that the hotspot data block can be accessed in the memory.

    Resource Scheduling Method and Related Apparatus
    8.
    发明申请
    Resource Scheduling Method and Related Apparatus 审中-公开

    公开(公告)号：US20170235602A1

    公开(公告)日：2017-08-17

    申请号：US15584661

    申请日：2017-05-02

    Applicant: Huawei Technologies Co., Ltd.

    Inventor： Jia Li ,  Jie Liu ,  Lifei Dang ,  Lingzhi Mao

    IPC: G06F9/48 ,  G06F12/123 ,  G06F9/38 ,  G06F12/0871

    Abstract: A resource scheduling method and a related resource scheduling apparatus to improve data input/output (IO) efficiency, where the method includes determining a current task queue, where the current task queue includes a plurality of to-be-executed application tasks, determining, for data blocks on a disk to be accessed by the application tasks, a quantity of times that each data block is to be accessed by the application tasks, determining a hotspot data block according to the quantity of times that each data block is to be accessed by the application tasks, and sending a move-in instruction to a local node of the hotspot data block, where the move-in instruction instructs to move the hotspot data block into a memory such that the hotspot data block can be accessed in the memory.

    METHOD AND SYSTEM FOR EXTRACTION AND ASSOCIATION OF OBJECT OF INTEREST IN VIDEO
    9.
    发明申请
    METHOD AND SYSTEM FOR EXTRACTION AND ASSOCIATION OF OBJECT OF INTEREST IN VIDEO 审中-公开
    在视频中提取和关联对象的方法和系统

    公开(公告)号：US20130101209A1

    公开(公告)日：2013-04-25

    申请号：US13715632

    申请日：2012-12-14

    Applicant: Huawei Technologies Co., Ltd. ,  Peking University

    Inventor： Yonghong Tian ,  Haonan Yu ,  Jia Li ,  Yunchao Gao ,  Jun Zhang ,  Jun Yan

    IPC: G06K9/80

    CPC classification number: G06K9/80 ,  G06F16/78 ,  G06K9/3241 ,  G06K2009/366 ,  H04N21/44008

    Abstract: The present disclosure relates to an image and video processing method, and in particular, to a two-phase-interaction-based extraction and association method for an object of interest in a video. In the method, a user performs coarse positioning interaction by an interactive method which is not limited to a normal manner and has a low requirement for prior knowledge; based on this, a certain extraction algorithm which is fast and easy to implement is adopted to perform multi-parameter extraction on the object of interest. In the method, on the basis of mining video information fully and ensuring user preference, in a manner where the viewing of the user is not affected, associate value-added information with the object which the user is interested in, thereby meeting the user's requirement for deeply knowing and further exploring an attention area.

    Abstract translation: 本公开涉及一种图像和视频处理方法，特别地涉及一种用于视频中的感兴趣对象的基于两相交互的提取和关联方法。 在该方法中，用户通过交互方式执行粗略的定位交互，该交互方法不限于正常方式，对于先验知识的要求较低; 基于此，采用快速，易于实现的某种提取算法对感兴趣的对象进行多参数提取。 在该方法中，基于完全挖掘视频信息并确保用户偏好，以不影响用户观看的方式，将增值信息与用户感兴趣的对象相关联，从而满足用户的要求 深入了解进一步探索关注领域。

    Resource scheduling method and related apparatus
    10.
    发明授权
    Resource scheduling method and related apparatus 有权

    公开(公告)号：US11194623B2

    公开(公告)日：2021-12-07

    申请号：US16558983

    申请日：2019-09-03

    Applicant: Huawei Technologies Co., Ltd.

    Inventor： Jia Li ,  Jie Liu ,  Lifei Dang ,  Lingzhi Mao

    IPC: G06F3/00 ,  G06F9/48 ,  G06F9/54 ,  G06F12/08 ,  G06F3/06 ,  G06F9/38 ,  G06F12/0871 ,  G06F12/123

    Abstract: A resource scheduling method and a related resource scheduling apparatus to improve data input/output (I/O) efficiency, where the method includes determining a current task queue, where the current task queue includes a plurality of to-be-executed application tasks, determining, for data blocks on a disk to be accessed by the application tasks, a quantity of times that each data block is to be accessed by the application tasks, determining a hotspot data block according to the quantity of times that each data block is to be accessed by the application tasks, and sending a move-in instruction to a local node of the hotspot data block, where the move-in instruction instructs to move the hotspot data block into a memory such that the hotspot data block can be accessed in the memory.

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