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公开(公告)号：US20150149385A1
公开(公告)日：2015-05-28
申请号：US14611087
申请日：2015-01-30
Applicant: eBay Inc.
Inventor： Neelakantan Sundaresan , Kavita Ganesan , Harshal Ulhas Deo
CPC classification number: G06Q30/0282 , G06F3/14 , G06F17/2785 , G06F17/30 , G06F17/30126 , G06F17/30554 , G06F17/30572 , G06F17/30601 , G06F17/30643 , G06F17/30648 , G06F17/30696 , G06F17/30876 , G06Q30/02
Abstract: In one embodiment, a system and method is illustrated including receiving a feedback request identifying a particular user, retrieving a feedback entry in response to the feedback request, the feedback entry containing a first term, building a scoring model based, in part, upon a term frequency count denoting a frequency with which the first term appears in a searchable data structure, mapping the first term to a graphical illustration based upon a second term associated with the graphical illustration such that the graphical illustration may be used to represent the second term, and generating a feedback page containing the first term and the graphical illustration. The method may include assigning a value to the first term so as to identify the first term, assigning the first term to the searchable data structure, and extracting the first term from the searchable data structure based, in part, upon an extraction rule.
Abstract translation: 在一个实施例中，示出了系统和方法，其包括接收标识特定用户的反馈请求，响应于反馈请求检索反馈条目，包含第一项的反馈条目，构建基于一部分 表示第一项出现在可搜索数据结构中的频率的术语频率计数，基于与图形说明相关联的第二项将第一项映射到图形说明，使得图形说明可以用于表示第二项， 以及生成包含第一项和图形说明的反馈页。 该方法可以包括将值分配给第一项，以便识别第一项，将第一项分配给可搜索数据结构，以及部分地基于提取规则从可搜索数据结构中提取第一项。
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公开(公告)号：US10021200B2
公开(公告)日：2018-07-10
申请号：US14734976
申请日：2015-06-09
Applicant: eBay Inc.
Inventor： Harshal Ulhas Deo , Kavita Ganesan , Monica Dhanaraj
CPC classification number: H04L67/22 , G06Q30/00 , G06Q30/0201 , G06Q30/0204 , G06Q30/0601 , H04L67/306
Abstract: Embodiments of computer-implemented methods and systems for activity-based recommendations are described. One example embodiment includes receiving data indicating historical activities of a user community, the historical activities including historical activities of the target user, selecting a reference group of users from the user community based on analysis of the historical activities of the target user, receiving generally current time activities of the reference group of users, the generally current time activities including those activities that have occurred within a defined time window, and recommending items to the target user based on the generally current time activities of the reference group of users.
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公开(公告)号：US11030662B2
公开(公告)日：2021-06-08
申请号：US16167289
申请日：2018-10-22
Applicant: eBay Inc.
Inventor： Neelakantan Sundaresan , Kavita Ganesan , Harshal Ulhas Deo
IPC: G06F16/00 , G06Q30/02 , G06F16/26 , G06F16/16 , G06F16/248 , G06F16/28 , G06F16/338 , G06F16/955 , G06F16/332 , G06F40/30 , G06F16/9535 , G06F16/958 , G06F3/14
Abstract: In one embodiment, a system and method is illustrated including receiving a feedback request identifying a particular user, retrieving a feedback entry in response to the feedback request, the feedback entry containing a first term, building a scoring model based, in part, upon a term frequency count denoting a frequency with which the first term appears in a searchable data structure, mapping the first term to a graphical illustration based upon a second term associated with the graphical illustration such that the graphical illustration may be used to represent the second term, and generating a feedback page containing the first term and the graphical illustration. The method may include assigning a value to the first term so as to identify the first term, assigning the first term to the searchable data structure, and extracting the first term from the searchable data structure based, in part, upon an extraction rule.
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公开(公告)号：US10127583B2
公开(公告)日：2018-11-13
申请号：US14611087
申请日：2015-01-30
Applicant: eBay Inc.
Inventor： Neelakantan Sundaresan , Kavita Ganesan , Harshal Ulhas Deo
Abstract: In one embodiment, a system and method is illustrated including receiving a feedback request identifying a particular user, retrieving a feedback entry in response to the feedback request, the feedback entry containing a first term, building a scoring model based, in part, upon a term frequency count denoting a frequency with which the first term appears in a searchable data structure, mapping the first term to a graphical illustration based upon a second term associated with the graphical illustration such that the graphical illustration may be used to represent the second term, and generating a feedback page containing the first term and the graphical illustration. The method may include assigning a value to the first term so as to identify the first term, assigning the first term to the searchable data structure, and extracting the first term from the searchable data structure based, in part, upon an extraction rule.
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Patent Agency Ranking
公开(公告)号：US11763356B2
公开(公告)日：2023-09-19
申请号：US17308653
申请日：2021-05-05
Applicant: eBay Inc.
Inventor： Neelakantan Sundaresan , Kavita Ganesan , Harshal Ulhas Deo
IPC: G06F16/00 , G06Q30/0282 , G06F16/26 , G06F16/16 , G06F16/248 , G06F16/28 , G06F16/338 , G06F16/955 , G06F16/332 , G06F40/30 , G06F16/9535 , G06F16/958 , G06Q30/02 , G06F3/14
CPC classification number: G06Q30/0282 , G06F16/00 , G06F16/168 , G06F16/248 , G06F16/26 , G06F16/287 , G06F16/338 , G06F16/3323 , G06F16/3326 , G06F16/955 , G06F16/958 , G06F16/9535 , G06F40/30 , G06Q30/02 , G06F3/14
Abstract: In one embodiment, a system and method is illustrated including receiving a feedback request identifying a particular user, retrieving a feedback entry in response to the feedback request, the feedback entry containing a first term, building a scoring model based, in part, upon a term frequency count denoting a frequency with which the first term appears in a searchable data structure, mapping the first term to a graphical illustration based upon a second term associated with the graphical illustration such that the graphical illustration may be used to represent the second term, and generating a feedback page containing the first term and the graphical illustration. The method may include assigning a value to the first term so as to identify the first term, assigning the first term to the searchable data structure, and extracting the first term from the searchable data structure based, in part, upon an extraction rule.
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公开(公告)号：US20210256575A1
公开(公告)日：2021-08-19
申请号：US17308653
申请日：2021-05-05
Applicant: eBay Inc.
Inventor： Neelakantan Sundaresan , Kavita Ganesan , Harshal Ulhas Deo
IPC: G06Q30/02 , G06F16/00 , G06F16/26 , G06F16/16 , G06F16/248 , G06F16/28 , G06F16/338 , G06F16/955 , G06F16/332 , G06F40/30 , G06F16/9535 , G06F16/958
Abstract: In one embodiment, a system and method is illustrated including receiving a feedback request identifying a particular user, retrieving a feedback entry in response to the feedback request, the feedback entry containing a first term, building a scoring model based, in part, upon a term frequency count denoting a frequency with which the first term appears in a searchable data structure, mapping the first term to a graphical illustration based upon a second term associated with the graphical illustration such that the graphical illustration may be used to represent the second term, and generating a feedback page containing the first term and the graphical illustration. The method may include assigning a value to the first term so as to identify the first term, assigning the first term to the searchable data structure, and extracting the first term from the searchable data structure based, in part, upon an extraction rule.
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公开(公告)号：US20190057421A1
公开(公告)日：2019-02-21
申请号：US16167289
申请日：2018-10-22
Applicant: eBay Inc.
Inventor： Neelakantan Sundaresan , Kavita Ganesan , Harshal Ulhas Deo
Abstract: In one embodiment, a system and method is illustrated including receiving a feedback request identifying a particular user, retrieving a feedback entry in response to the feedback request, the feedback entry containing a first term, building a scoring model based, in part, upon a term frequency count denoting a frequency with which the first term appears in a searchable data structure, mapping the first term to a graphical illustration based upon a second term associated with the graphical illustration such that the graphical illustration may be used to represent the second term, and generating a feedback page containing the first term and the graphical illustration. The method may include assigning a value to the first term so as to identify the first term, assigning the first term to the searchable data structure, and extracting the first term from the searchable data structure based, in part, upon an extraction rule.
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公开(公告)号：US20180288177A1
公开(公告)日：2018-10-04
申请号：US16002226
申请日：2018-06-07
Applicant: eBay Inc.
Inventor： Harshal Ulhas Deo , Kavita Ganesan , Monica Dhanaraj
Abstract: Embodiments of computer-implemented methods and systems for activity-based recommendations are described. One example embodiment includes receiving historical activities of a plurality of users, the historical activities comprising actions associated with the items in the database, the plurality of users including the target user. A group of users is identified from the plurality of users based on historical activities of the group of users and historical activities of the target user. Generally current time activities of the group of users are received, the generally current time activities comprising activities that have occurred within a defined time window. A recommendation for one or more items is generated based on the generally current time activities, and the recommendation is provided for display to the target user.
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公开(公告)号：US20150271282A1
公开(公告)日：2015-09-24
申请号：US14734976
申请日：2015-06-09
Applicant: eBay Inc.
Inventor： Harshal Ulhas Deo , Kavita Ganesan , Monica Dhanaraj
IPC: H04L29/08
CPC classification number: H04L67/22 , G06Q30/00 , G06Q30/0201 , G06Q30/0204 , G06Q30/0601 , H04L67/306
Abstract: Embodiments of computer-implemented methods and systems for activity-based recommendations are described. One example embodiment includes receiving data indicating historical activities of a user community, the historical activities including historical activities of the target user, selecting a reference group of users from the user community based on analysis of the historical activities of the target user, receiving generally current time activities of the reference group of users, the generally current time activities including those activities that have occurred within a defined time window, and recommending items to the target user based on the generally current time activities of the reference group of users.
Abstract translation: 描述了基于活动的建议的计算机实现的方法和系统的实施例。 一个示例实施例包括接收指示用户社区的历史活动的数据，包括目标用户的历史活动的历史活动，基于对目标用户的历史活动的分析从用户社区中选择用户组的参考组， 参考用户组的时间活动，一般当前时间活动，包括在定义的时间窗口内发生的那些活动，以及基于参考组用户的一般当前时间活动向目标用户推荐项目。
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