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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
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.
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公开(公告)号：US20240202491A1
公开(公告)日：2024-06-20
申请号：US18416924
申请日：2024-01-19
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor： Wei Guo , Jiarui Qin , Ruiming Tang , Zhirong Liu , Xiuqiang He , Weinan Zhang , Yong Yu
IPC: G06N3/04 , G06Q30/0601
CPC classification number: G06N3/04 , G06Q30/0631
Abstract: A recommendation device obtains to-be-predicted data and a plurality of target reference samples based on a similarity between the to-be-predicted data and the plurality of reference samples. Each reference sample and the to-be-predicted data each include user feature field data indicating a feature of a target user, and item feature field data indicating a feature of a target item. Each target reference sample and the to-be-predicted data have partially identical user feature field data and/or item feature field data. The recommendation device obtains target feature information of the to-be-predicted data based on the plurality of target reference samples and the to-be-predicted data. The recommendation device then uses the target feature information as input to a deep neural network to obtain a target item that is to be recommended.
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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.
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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.
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Patent Agency Ranking
公开(公告)号：US20190043076A1
公开(公告)日：2019-02-07
申请号：US15865273
申请日：2018-01-09
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor： Zhenhua Dong , Zhirong Liu , Xiuqiang He , Ruiming Tang , Bohai Yang
Abstract: An advertisement management server in a communication system receives information of advertisements, determines an advertising value calculation policy, estimates a value of an advertising value element according to the information of each advertisement, calculates a value of each advertisement using the value of the advertising value element and the advertising value calculation policy as reference factors. The server instructs the communication system to broadcast the advertisements for displaying on the user terminals according to the calculated value of each advertisement.
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公开(公告)号：US20140324539A1
公开(公告)日：2014-10-30
申请号：US14328203
申请日：2014-07-10
Applicant: Huawei Technologies Co., Ltd.
Inventor： Zhirong Liu , Liangwei Wang
CPC classification number: G06Q30/0202 , G06Q10/10 , G06Q50/01
Abstract: Embodiments of the present invention apply to the field of social networks, and provide a method and a system for mining a topic core circle in a social network, where the method includes: creating a social network diagram; selecting a node from the social network diagram as a first node of a core circle, adding a second node that has most connections with the first node to the core circle, adding a third node to the core circle, and performing similar operations until an Nth node outside the core circle is added to the core circle, where the N is a preset number of nodes included in the core circle; and performing topic clustering for the core circle including N nodes. By adopting the embodiments of the present invention, core circles with a similar topic and a close relationship in the social network can be effectively mined.
Abstract translation: 本发明的实施例适用于社交网络领域，并且提供了在社交网络中挖掘主题核心圈的方法和系统，其中所述方法包括：创建社交网络图; 从社交网络图中选择节点作为核心圆的第一节点，将与第一节点具有大多数连接的第二节点添加到核心圆，将第三节点添加到核心圆，并执行类似的操作，直到第N 核心圈外的节点被添加到核心圆，其中N是包含在核心圆中的预设数量的节点; 并为包含N个节点的核心圈执行主题聚类。 通过采用本发明的实施例，可以有效地挖掘具有相似主题和社交网络密切关系的核心圈。
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公开(公告)号：US11281426B2
公开(公告)日：2022-03-22
申请号：US16455152
申请日：2019-06-27
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor： Bogdan Cautis , Ruiming Tang , Zhenhua Dong , Xiuqiang He , Zhirong Liu
IPC: G06F7/24 , G06F3/0482 , G06F17/18
Abstract: An application sorting method and apparatus are provided. The method includes: obtaining, a positive operation probability and positive operation feedback information of each of at least two data samples; calculating an uncertainty parameter of a positive operation probability of a first data sample based on the positive operation probabilities and the positive operation feedback information of the at least two data samples and feature indication information of at least one same feature in a plurality of features in the at least two data samples; and correcting the positive operation probability of the first data sample by using the uncertainty parameter of the positive operation probability; and sorting, based on corrected positive operation probabilities, application programs corresponding to the at least two data samples.
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公开(公告)号：US20190366156A1
公开(公告)日：2019-12-05
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
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.
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公开(公告)号：US20150227530A1
公开(公告)日：2015-08-13
申请号：US14696748
申请日：2015-04-27
Applicant: Huawei Technologies Co., Ltd.
Inventor： Zhirong Liu , Liangwei Wang
IPC: G06F17/30
CPC classification number: G06F16/24578 , G06F16/335 , G06F16/337 , G06F16/9535 , G06Q10/10 , H04M1/274583
Abstract: An address book ranking method and apparatus are provided, which relate to the field of communications technologies and are convenient for a user to quickly find a desired contact when a capacity of an address book is large. The address book ranking method includes acquiring profile information and communication information of contacts in an address book; and ranking the contact according to the profile information and the communication information. The present invention may be applied to an address book.
Abstract translation: 提供一种地址簿排序方法和装置，其涉及通信技术领域，并且当地址簿的容量大时，便于用户快速找到所需的联系人。 地址簿排序方法包括获取地址簿中的联系人的简档信息和通信信息; 并根据简档信息和通信信息对联系人进行排序。 本发明可以应用于地址簿。
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