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公开(公告)号：US20190068628A1
公开(公告)日：2019-02-28
申请号：US16159481
申请日：2018-10-12
Applicant: Apple Inc.
Inventor： Abhradeep Guha Thakurta , Andrew H. Vyrros , Umesh S. Vaishampayan , Gaurav Kapoor , Julien Freudiger , Vipul Ved Prakash , Arnaud Legendre , Steven Duplinsky
CPC classification number: H04L63/1425 , G06F17/2235 , G06F17/2735 , G06F17/276 , G06F21/6254 , G06N20/00 , H04L63/0421
Abstract: Systems and methods are disclosed for generating term frequencies of known terms based on crowdsourced differentially private sketches of the known terms. An asset catalog can be updated with new frequency counts for known terms based on the crowdsourced differentially private sketches. Known terms can have a classification. A client device can maintain a privacy budget for each classification of known terms. Classifications can include emojis, deep links, locations, finance terms, and health terms, etc. A privacy budget ensures that a client does not transmit too much information to a term frequency server, thereby compromising the privacy of the client device.
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公开(公告)号：US09894089B2
公开(公告)日：2018-02-13
申请号：US15627269
申请日：2017-06-19
Applicant: Apple Inc.
Inventor： Abhradeep Guha Thakurta , Andrew H. Vyrros , Umesh S. Vaishampayan , Gaurav Kapoor , Julien Freudinger , Vipul Ved Prakash , Arnaud Legendre , Steven Duplinsky
CPC classification number: H04L63/1425 , G06F17/2235 , G06F17/2735 , G06F17/276 , G06F21/6254 , G06N99/005 , H04L63/0421
Abstract: Systems and methods are disclosed for generating term frequencies of known terms based on crowdsourced differentially private sketches of the known terms. An asset catalog can be updated with new frequency counts for known terms based on the crowdsourced differentially private sketches. Known terms can have a classification. A client device can maintain a privacy budget for each classification of known terms. Classifications can include emojis, deep links, locations, finance terms, and health terms, etc. A privacy budget ensures that a client does not transmit too much information to a term frequency server, thereby compromising the privacy of the client device.
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公开(公告)号：US20170359363A1
公开(公告)日：2017-12-14
申请号：US15627269
申请日：2017-06-19
Applicant: Apple Inc.
Inventor： Abhradeep Guha Thakurta , Andrew H. Vyrros , Umesh S. Vaishampayan , Gaurav Kapoor , Julien Freudinger , Vipul Ved Prakash , Arnaud Legendre , Steven Duplinsky
CPC classification number: H04L63/1425 , G06F17/2235 , G06F17/2735 , G06F17/276 , G06F21/6254 , G06N99/005 , H04L63/0421
Abstract: Systems and methods are disclosed for generating term frequencies of known terms based on crowdsourced differentially private sketches of the known terms. An asset catalog can be updated with new frequency counts for known terms based on the crowdsourced differentially private sketches. Known terms can have a classification. A client device can maintain a privacy budget for each classification of known terms. Classifications can include emojis, deep links, locations, finance terms, and health terms, etc. A privacy budget ensures that a client does not transmit too much information to a term frequency server, thereby compromising the privacy of the client device.
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公开(公告)号：US20170228442A1
公开(公告)日：2017-08-10
申请号：US15431075
申请日：2017-02-13
Applicant: Apple Inc.
Inventor： Rishab Aiyer Ghosh , Vipul Ved Prakash
IPC: G06F17/30
CPC classification number: G06F17/30554 , G06F17/30454 , G06F17/30525 , G06F17/30528 , G06F17/3053 , G06F17/30551 , G06F17/30864 , G06F17/30867 , G06F17/3087
Abstract: A new approach is proposed that contemplates systems and methods to ascribe or transfer metadata from one search-related entity to another, where each entity can be one of subject or source, citation, and object or target. First, one or more complete or incomplete attributes associated with one or more of entities across source, citation and target are identified with a high degree of probable accuracy, wherein such metadata or attributes include but are not limited to, time, language, and location of the entities. The identified attributes are then ascribed or transferred from one entity where the metadata is available to other search entities. Finally, the transferred attributes can be utilized to facilitate the selection and ranking of the cited targets for the search result.
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25.发明申请SYSTEMS AND METHODS USING REPUTATION OR INFLUENCE SCORES IN SEARCH QUERIES 审中-公开在搜索查询中使用信誉或影响分数的系统和方法公开(公告)号：US20160055161A1
公开(公告)日：2016-02-25
申请号：US14750600
申请日：2015-06-25
Applicant: Apple Inc.
Inventor： Rishab Aiyer Ghosh , Vipul Ved Prakash
IPC: G06F17/30
CPC classification number: G06F16/24578 , G06F16/23 , G06F16/245 , G06F16/24575 , G06F16/335 , G06F16/35 , G06F16/951 , G06F16/9535 , G06F16/954 , G06Q30/02
Abstract: One or more processors determine reputation scores for one or more subjects based on connections. One or more processors use a plurality of citations, with each citation representing an expression of opinion or description by a subject on an object. One or more processors select a subset of citations for each object from the citations citing each object. The content of the citations matches one or more search terms for a search query. One or more processors assign citation scores to a subset of a plurality of objects. The citation scores indicate relevance of the objects cited by citations and are determined based at least in part on matching one or more search terms with the content of the citations of the objects by the one or more subjects. The selection scores for an object are determined for each search query based on a subset of subjects citing the object.
Abstract translation: 一个或多个处理器基于连接来确定一个或多个主题的信誉评分。 一个或多个处理器使用多个引用，每个引用表示对象上的受试者的意见或描述的表达。 一个或多个处理器从引用每个对象的引文中选择每个对象的引用子集。 引文的内容与搜索查询的一个或多个搜索词匹配。 一个或多个处理器将引用分数分配给多个对象的子集。 引用分数表示引用引用的对象的相关性，并且至少部分地基于将一个或多个搜索词与一个或多个主题的对象引用的内容相匹配来确定。 基于引用对象的受试者的子集，针对每个搜索查询来确定对象的选择分数。
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Patent Agency Ranking
公开(公告)号：US20150347503A1
公开(公告)日：2015-12-03
申请号：US14503226
申请日：2014-09-30
Applicant: Apple Inc.
Inventor： Saravana Kumar Siva Kumaran , Vipul Ved Prakash , Rishab Aiyer Ghosh , Lun Cui , Charles Henry Salzenberg, JR.
IPC: G06F17/30
CPC classification number: G06F16/243 , G06F16/3322 , G06F16/951
Abstract: A method and apparatus of a device that performs a multi-domain query search is described. In an exemplary embodiment, the device receives a query prefix from a client of a user. The device further determines a plurality of search completions across the plurality of separate search domains. In addition, the device ranks the plurality of search completions based on a score calculated for each of the plurality of search completions determined by a corresponding search domain, where at least one of the plurality of search completions is used to generate a plurality of search results without an indication from the user and in response to receiving the query prefix.
Abstract translation: 描述了执行多域查询搜索的设备的方法和装置。 在示例性实施例中，设备从用户的客户端接收查询前缀。 该设备进一步确定多个分离的搜索域中的多个搜索完成。 另外，设备基于由对应的搜索域确定的多个搜索完成中的每一个计算的分数来排列多个搜索完成，其中多个搜索完成中的至少一个用于生成多个搜索结果 而没有来自用户的指示并且响应于接收到查询前缀。
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公开(公告)号：US10885105B2
公开(公告)日：2021-01-05
申请号：US15380912
申请日：2016-12-15
Applicant: Apple Inc.
Inventor： James De Guerre , Vipul Ved Prakash , Vojtech Jina , Yogish Baliga , Ashwin Kashyap , David Salim , Bryan Hansen
Abstract: Systems and methods are disclosed for suggesting expressive graphical content to a user to share within a messaging system. Expressive graphical content can include images, video, animated images, any of which may include sound, that a message system user is likely to share because it is related to a conversation between one or more users of the message system. Expressive graphical content may be content that is recent, humorous, and/or popular or trending in popularity, and can be shared without a copyright. A transcript of a message session between two or more users of a message system can be used to generate keywords for identifying and prioritizing expressive graphical content. The keywords can be prioritized and used as search terms to proactively suggest to the user to search for expressive graphical content. A search can be initiated automatically upon selecting one or more of the keywords.
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公开(公告)号：US10755032B2
公开(公告)日：2020-08-25
申请号：US14871918
申请日：2015-09-30
Applicant: Apple Inc.
Inventor： Jason Douglas , Vipul Ved Prakash
IPC: G06F17/00 , G06F40/134 , G06F16/22 , G06F16/2457 , G06F16/951
Abstract: A method and apparatus of a device that performs a search using a deep link index is described. In an exemplary embodiment, the device receives a query on a device. The device additionally determines a plurality of results matching the query. The device further determines a subset of the plurality of results that correspond to at least one native application installed on the device. In addition, the device presents a link for each of the results in the subset of the plurality of results with data that launches the corresponding native application if that link is selected, where the link is a deep link that reference a location in the corresponding native application. Upon detecting one of the links corresponding to the subset of the plurality of results is selected, the device launches the corresponding native application with the data for that link.
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公开(公告)号：US10360902B2
公开(公告)日：2019-07-23
申请号：US14869572
申请日：2015-09-29
Applicant: Apple Inc.
Inventor： John Hornkvist , Vipul Ved Prakash , David Salim
IPC: G10L15/18 , G06F16/2453 , G06F16/338 , G10L15/22 , G10L15/26
Abstract: A system, method, and machine readable medium are described for providing improved search functionality on a client device.
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公开(公告)号：US10154054B2
公开(公告)日：2018-12-11
申请号：US15640266
申请日：2017-06-30
Applicant: Apple Inc.
Inventor： Abhradeep Guha Thakurta , Andrew H. Vyrros , Umesh S. Vaishampayan , Gaurav Kapoor , Julien Freudinger , Vipul Ved Prakash , Arnaud Legendre , Steven Duplinsky
Abstract: Systems and methods are disclosed for generating term frequencies of known terms based on crowdsourced differentially private sketches of the known terms. An asset catalog can be updated with new frequency counts for known terms based on the crowdsourced differentially private sketches. Known terms can have a classification. A client device can maintain a privacy budget for each classification of known terms. Classifications can include emojis, deep links, locations, finance terms, and health terms, etc. A privacy budget ensures that a client does not transmit too much information to a term frequency server, thereby compromising the privacy of the client device.
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