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公开(公告)号:US09286408B2
公开(公告)日:2016-03-15
申请号:US13754048
申请日:2013-01-30
Applicant: Hewlett-Packard Development Company, L.P.
Inventor: Georgia Koutrika
CPC classification number: G06F17/30887 , G06F17/241 , G06F17/27
Abstract: Methods for analyzing a Uniform Resource Locator (URL) and apparatus for performing such methods. The methods include parsing the URL into text segments and generating n-grams from the text segments. The methods further include generating annotations, each annotation corresponding to one of the n-grams and comprising a match value for its corresponding n-gram, a description of its match value, and a score. The methods still further include selecting a subset of the annotations.
Abstract translation: 用于分析统一资源定位符(URL)的方法和用于执行这种方法的装置。 这些方法包括将URL解析成文本段并从文本段生成n-gram。 所述方法还包括生成注释,每个注释对应于所述n克中的一个,并且包括其对应的n-gram的匹配值,其匹配值的描述和得分。 所述方法还包括选择注释的子集。
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公开(公告)号:US10769190B2
公开(公告)日:2020-09-08
申请号:US15518756
申请日:2015-01-23
Applicant: Hewlett-Packard Development Company, L.P.
Inventor: Lei Liu , Georgia Koutrika , Jerry Liu
IPC: G06Q50/20 , G06F16/335 , G06Q10/06 , G06Q10/10
Abstract: Examples relate to grouping students using content fields. Student data including a plurality of content fields is obtained. Each content field of the plurality of content fields includes a value that represents an unstructured marking linked to a content data collection. Student profiles are generated by assigning a student identification number to each of the plurality of content fields. Each of the student identification numbers are organized into at least one student group by analyzing the set of student profiles.
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公开(公告)号:US10740406B2
公开(公告)日:2020-08-11
申请号:US15100918
申请日:2013-12-06
Applicant: Hewlett-Packard Development Company, L.P.
Inventor: Georgia Koutrika , Dimitra Papadimitriou , Steven J Simske
IPC: G06F16/93 , G06F16/2457 , G06F40/20 , G06F40/205
Abstract: Matching of an input document to documents in a document collection is described herein. In an example, a similarity correspondence between an input document and one or more documents in a base document collection is established. A set of base document segments and a set of message types associated to document segments in the set of base document segments is provided. The set of base document segments is derived from documents in the base document collection. The input document is segmented into input document segments corresponding to message types. Segment similarity between input document segments and base document segments corresponding to the same message types is computed. The similarity correspondence between the input document and at least one document in the base document collection is based on the computed segment similarity.
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公开(公告)号:US20180082124A1
公开(公告)日:2018-03-22
申请号:US15559020
申请日:2015-06-02
Applicant: Hewlett-Packard Development Company, L.P.
Inventor: Tong Zhang , Georgia Koutrika , Jerry Liu , Steven J Simske
CPC classification number: G06K9/00744 , G06K9/00718 , G06K9/00765 , G06K9/6253 , G06Q50/10 , G09B5/06 , G11B27/28 , G11B27/34 , H04N5/44504 , H04N21/4788 , H04N21/8549
Abstract: Examples associated with keyframe annotation are disclosed. One example includes extracting a set of keyframes from a video presentation. A subset of the keyframes is selected to present to a user based on a user preference. Annotations are generated for the subset of the keyframes. The annotations are personalized to the user. The subset of the keyframes and the annotations are presented to the user.
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公开(公告)号:US20170235822A1
公开(公告)日:2017-08-17
申请号:US15518756
申请日:2015-01-23
Applicant: Hewlett-Packard Development Company, L.P.
Inventor: Lei LIU , Georgia Koutrika , Jerry Liu
CPC classification number: G06F16/337 , G06Q10/0631 , G06Q10/105 , G06Q50/20
Abstract: Examples relate to grouping students using content fields. Student data including a plurality of content fields is obtained. Each content field of the plurality of content fields includes a value that represents an unstructured marking linked to a content data collection. Student profiles are generated by assigning a student identification number to each of the plurality of content fields. Each of the student identification numbers are organized into at least one student group by analyzing the set of student profiles.
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公开(公告)号:US20170221163A1
公开(公告)日:2017-08-03
申请号:US15500917
申请日:2014-07-31
Applicant: Hewlett-Packard Development Company, L.P.
Inventor: Lei Liu , Georgia Koutrika , Jerry Liu
CPC classification number: G06Q50/20 , G06Q10/063112 , G06Q10/103 , G09B5/00 , G09B5/08 , G09B7/02
Abstract: Examples disclosed herein relate to creating a heterogeneous learner group. In one implementation, a processor associates a selected learner with a group of learners based on a value of a factor associated with the group of learners compared to a value of the factor associated with the selected learner. For example, the value associated with the selected learner may be indicative of a strength compared to the value associated with the group of learners. The processor may output information related to a heterogeneous learner group created from the group of learners and the selected learner.
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公开(公告)号:US09086825B2
公开(公告)日:2015-07-21
申请号:US13747827
申请日:2013-01-23
Applicant: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.
Inventor: Georgia Koutrika , Qian Lin , Jerry J. Liu
CPC classification number: G06F3/1203 , G06F3/1242 , G06F3/1244 , G06F3/1285 , G06Q30/0207 , G06Q30/0251 , G06Q30/0282
Abstract: A system can include a print type classifier to receive a print message that indicates that a file has been selected to be printed. The print type classifier can also determine a print type of the file. The system can also include a print content analyzer to assign a category to the file characterizing a topic of the file based on the content of the file. The print type analyzer can also generate a content representation of the file that characterizes a summary of content of the file. The system can further include a recommendation engine to provide supplemental content based on at least one of the print type, the category and the content representation of the file, wherein the supplemental content is in a printable format.
Abstract translation: 系统可以包括打印类型分类器以接收指示已经选择要打印的文件的打印消息。 打印类型分类器也可以确定文件的打印类型。 该系统还可以包括打印内容分析器,用于基于文件的内容将类别分配给表征文件的主题的文件。 打印类型分析器还可以生成描述文件内容摘要的文件的内容表示。 该系统还可以包括推荐引擎,用于基于文件的打印类型,类别和内容表示中的至少一个提供补充内容,其中补充内容是可打印格式。
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公开(公告)号:US20140280110A1
公开(公告)日:2014-09-18
申请号:US13832644
申请日:2013-03-15
Applicant: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.
Inventor: Alkiviadis Simitsis , Georgia Koutrika
IPC: G06F17/30
CPC classification number: G06F17/3053 , G06F17/30634 , G06F17/30864
Abstract: Disclosed herein are a system, non-transitory computer readable medium and method for fulfilling requests for source code. A description is associated with each section of source code text. A section of source code, whose description at least partially matches a source code request, is obtained and displayed.
Abstract translation: 本文公开了一种用于满足源代码请求的系统,非暂时性计算机可读介质和方法。 描述与源代码文本的每个部分相关联。 获得并显示一部分源代码,其描述至少部分匹配源代码请求。
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公开(公告)号:US20140214788A1
公开(公告)日:2014-07-31
申请号:US13754048
申请日:2013-01-30
Applicant: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.
Inventor: Georgia Koutrika
IPC: G06F17/30
CPC classification number: G06F17/30887 , G06F17/241 , G06F17/27
Abstract: Methods for analyzing a Uniform Resource Locator (URL) and apparatus for performing such methods. The methods include parsing the URL into text segments and generating n-grams from the text segments. The methods further include generating annotations, each annotation corresponding to one of the n-grams and comprising a match value for its corresponding n-gram, a description of its match value, and a score. The methods still further include selecting a subset of the annotations.
Abstract translation: 用于分析统一资源定位符(URL)的方法和用于执行这种方法的装置。 这些方法包括将URL解析成文本段并从文本段生成n-gram。 所述方法还包括生成注释,每个注释对应于所述n克中的一个,并且包括其对应的n-gram的匹配值,其匹配值的描述和得分。 所述方法还包括选择注释的子集。
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