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公开(公告)号：US11200509B2
公开(公告)日：2021-12-14
申请号：US15196932
申请日：2016-06-29
发明人： Qiang Yang , Yangqiu Song , Wing Ki Leung , Zhengdong Lu
IPC分类号： G06N20/00 , G06F16/2458 , G06N5/04 , G06N5/02
摘要： A method for processing information by an intelligent agent and the intelligent agent, where the method comprises: a first intelligent agent sends a request message to a second intelligent agent, where the request message includes an invitation message or a recommendation message; the first intelligent agent receives a decision message fed back by the second intelligent agent, where the decision message is determined according to the invitation message or the recommendation message and a knowledge model of the second intelligent agent; and the first intelligent agent updates, according to the decision message, a knowledge model of the first intelligent agent or sends a notification message to a first user account corresponding to the first intelligent agent. By using these technical solutions, information on a social network may be learned and processed by means of interaction with another intelligent agent, thereby implementing mining of data on the social network.
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公开(公告)号：US10452696B2
公开(公告)日：2019-10-22
申请号：US15190985
申请日：2016-06-23
发明人： Liangwei Wang , Wing Ki Leung , Yang Yang
摘要： A method includes storing documents of different fields, and a relationship between any two documents of different fields, performing word segmentation and stop word removal on the documents of different fields, to obtain a vocabulary data set for the documents of different fields, constructing an incidence matrix between the documents of different fields according to the relationship between the any two documents of different fields, obtaining a topic cluster of the documents of different fields according to the vocabulary data set, obtaining a probability that any topic in the topic cluster appears in any document and a matching weight of the any topic for any two different fields according to the incidence matrix and the topic cluster, and computing a similarity between the any two documents according to the probabilities and the matching weight of the any topic for the fields to which the any two documents belong.
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3.发明申请公开(公告)号：US20160307117A1
公开(公告)日：2016-10-20
申请号：US15196932
申请日：2016-06-29
发明人： Qiang Yang , Yangqiu Song , Wing Ki Leung , Zhengdong Lu
CPC分类号： G06N20/00 , G06F16/2465 , G06N5/022 , G06N5/043
摘要： A method for processing information by an intelligent agent and the intelligent agent, where the method comprises: a first intelligent agent sends a request message to a second intelligent agent, where the request message includes an invitation message or a recommendation message; the first intelligent agent receives a decision message fed back by the second intelligent agent, where the decision message is determined according to the invitation message or the recommendation message and a knowledge model of the second intelligent agent; and the first intelligent agent updates, according to the decision message, a knowledge model of the first intelligent agent or sends a notification message to a first user account corresponding to the first intelligent agent. By using these technical solutions, information on a social network may be learned and processed by means of interaction with another intelligent agent, thereby implementing mining of data on the social network.
摘要翻译： 一种智能代理和智能代理处理信息的方法，所述方法包括：第一智能代理向第二智能代理发送请求消息，其中所述请求消息包括邀请消息或推荐消息; 第一智能代理接收由第二智能代理反馈的判定消息，其中根据邀请消息或推荐消息确定判定消息，以及第二智能代理的知识模型; 并且所述第一智能代理根据所述判定消息，更新所述第一智能代理的知识模型，或者向与所述第一智能代理对应的第一用户账户发送通知消息。 通过使用这些技术解决方案，可以通过与另一智能代理的交互来学习和处理关于社交网络的信息，从而实现社交网络上的数据挖掘。
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公开(公告)号：US10409841B2
公开(公告)日：2019-09-10
申请号：US15358410
申请日：2016-11-22
发明人： Qiang Yang , Ke Deng , Wing Ki Leung
IPC分类号： G06F16/28 , G06F16/2458 , G06F3/01 , G06K9/00 , G06K9/62
摘要： A user behavior recognition method, a user equipment, a behavior recognition server, and a behavior recognition system are presented, where the method includes acquiring, by a first user equipment, statistical distribution information of a target parameter corresponding to a target user behavior, where the target parameter includes at least one parameter in a behavior recognition model of the target user behavior, and the statistical distribution information of the target parameter is determined according to values of the target parameters in behavior recognition models of the target user behavior that are respectively corresponding to multiple other user equipment; and creating and saving, according to the statistical distribution information, a behavior recognition model of the target user behavior, to recognize the target user behavior.
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5.发明申请User Behavior Recognition Method, User Equipment, and Behavior Recognition Server 审中-公开用户行为识别方法，用户设备和行为识别服务器公开(公告)号：US20170075982A1
公开(公告)日：2017-03-16
申请号：US15358410
申请日：2016-11-22
发明人： Qiang Yang , Ke Deng , Wing Ki Leung
IPC分类号： G06F17/30
CPC分类号： G06F16/285 , G06F3/011 , G06F16/2462 , G06K9/00335 , G06K9/00973 , G06K9/6278
摘要： A user behavior recognition method, a user equipment, a behavior recognition server, and a behavior recognition system are presented, where the method includes acquiring, by a first user equipment, statistical distribution information of a target parameter corresponding to a target user behavior, where the target parameter includes at least one parameter in a behavior recognition model of the target user behavior, and the statistical distribution information of the target parameter is determined according to values of the target parameters in behavior recognition models of the target user behavior that are respectively corresponding to multiple other user equipment; and creating and saving, according to the statistical distribution information, a behavior recognition model of the target user behavior, to recognize the target user behavior.
摘要翻译： 提出了用户行为识别方法，用户设备，行为识别服务器和行为识别系统，其中该方法包括由第一用户设备获取与目标用户行为相对应的目标参数的统计分布信息，其中 目标参数包括目标用户行为的行为识别模型中的至少一个参数，并且根据目标用户行为的行为识别模型中的目标参数的值来确定目标参数的统计分布信息，所述行为识别模型分别对应于 到多个其他用户设备; 并根据统计分布信息创建和保存目标用户行为的行为识别模型，以识别目标用户行为。
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公开(公告)号：US10043375B2
公开(公告)日：2018-08-07
申请号：US15260412
申请日：2016-09-09
发明人： Ching Man Au Yeung , Xiaojuan Ma , Wing Ki Leung
摘要： A mobile terminal alarm method and apparatus are provided. The method includes collecting environmental data of a mobile terminal; determining, according to the environmental data, a scenario in which the mobile terminal is located; and sending, when the scenario meets a preset alarm condition, and the mobile terminal is in a preset state, an alarm in an alarm manner corresponding to the preset state.
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公开(公告)号：US20160379478A1
公开(公告)日：2016-12-29
申请号：US15260412
申请日：2016-09-09
发明人： Ching Man Au Yeung , Xiaojuan Ma , Wing Ki Leung
CPC分类号： G08B25/016 , G08B21/0461 , H04M1/72569
摘要： A mobile terminal alarm method and apparatus are disclosed, and are used to resolve a problem in the prior art that a mobile terminal is incapable of warning a user to avoid an unexpected situation. The method includes collecting environmental data of a mobile terminal; determining, according to the environmental data, a scenario in which the mobile terminal is located; and sending, when the scenario meets a preset alarm condition, and the mobile terminal is in a preset state, an alarm in an alarm manner corresponding to the preset state.
摘要翻译： 公开了一种移动终端报警方法和装置，并且用于解决现有技术中的移动终端不能警告用户以避免意外情况的问题。 该方法包括收集移动终端的环境数据; 根据环境数据确定移动终端所在的场景; 并且当所述场景满足预设的报警条件并且所述移动终端处于预设状态时，发送对应于所述预置状态的报警方式的报警。
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公开(公告)号：US12014251B2
公开(公告)日：2024-06-18
申请号：US17549231
申请日：2021-12-13
发明人： Qiang Yang , Yangqiu Song , Wing Ki Leung , Zhengdong Lu
IPC分类号： G06N5/022 , G06F16/2458 , G06N5/043 , G06N20/00
CPC分类号： G06N20/00 , G06F16/2465 , G06N5/022 , G06N5/043
摘要： A method for processing information by an intelligent agent and the intelligent agent, where the method comprises: a first intelligent agent sends a request message to a second intelligent agent, where the request message includes an invitation message or a recommendation message; the first intelligent agent receives a decision message fed back by the second intelligent agent, where the decision message is determined according to the invitation message or the recommendation message and a knowledge model of the second intelligent agent; and the first intelligent agent updates, according to the decision message, a knowledge model of the first intelligent agent or sends a notification message to a first user account corresponding to the first intelligent agent. By using these technical solutions, information on a social network may be learned and processed by means of interaction with another intelligent agent, thereby implementing mining of data on the social network.
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公开(公告)号：US10860941B2
公开(公告)日：2020-12-08
申请号：US15460247
申请日：2017-03-16
发明人： Yang Yang , Wing Ki Leung , Jie Tang
摘要： A method for predicting information propagation in a social network includes acquiring target information to be predicted, and acquiring influences of K clusters, where the target information is posted or forwarded by a first user at a first moment, and K is a positive integer; determining a role probability distribution of the first user, and determining a second user who has not propagated the target information, where the role probability distribution of the first user is used to indicate probabilities that the first user belongs separately to the K clusters; and determining, according to the influences of the K clusters and the role probability distribution of the first user, a probability that the second user forwards the target information from the first user. In the embodiments of the present application, propagation of target information in a social network can be predicted by using influences of K clusters.
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公开(公告)号：US20170185908A1
公开(公告)日：2017-06-29
申请号：US15460247
申请日：2017-03-16
发明人： Yang Yang , Wing Ki Leung , Jie Tang
摘要： A method for predicting information propagation in a social network includes acquiring target information to be predicted, and acquiring influences of K clusters, where the target information is posted or forwarded by a first user at a first moment, and K is a positive integer; determining a role probability distribution of the first user, and determining a second user who has not propagated the target information, where the role probability distribution of the first user is used to indicate probabilities that the first user belongs separately to the K clusters; and determining, according to the influences of the K clusters and the role probability distribution of the first user, a probability that the second user forwards the target information from the first user. In the embodiments of the present application, propagation of target information in a social network can be predicted by using influences of K clusters.
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