Personalized summary generation of data visualizations

    公开(公告)号:US10909313B2

    公开(公告)日:2021-02-02

    申请号:US15630462

    申请日:2017-06-22

    Abstract: Various embodiments are generally directed to systems for summarizing data visualizations (i.e., images of data visualizations), such as a graph image, for instance. Some embodiments are particularly directed to a personalized graph summarizer that analyzes a data visualization, or image, to detect pre-defined patterns within the data visualization, and produces a textual summary of the data visualization based on the pre-defined patterns detected within the data visualization. In various embodiments, the personalized graph summarizer may include features to adapt to the preferences of a user for generating an automated, personalized computer-generated narrative. For instance, additional pre-defined patterns may be created for detection and/or the textual summary may be tailored based on user preferences. In some such instances, one or more of the user preferences may be automatically determined by the personalized graph summarizer without requiring the user to explicitly indicate them. Embodiments may integrate machine learning and computer vision concepts.

    System and methods for interactive displays based on associations for machine-guided rule creation
    2.
    发明授权
    System and methods for interactive displays based on associations for machine-guided rule creation 有权
    基于机器引导规则创建的关联的交互式显示的系统和方法

    公开(公告)号:US09251465B2

    公开(公告)日:2016-02-02

    申请号:US14662443

    申请日:2015-03-19

    Abstract: This disclosure provides a computer-program product, system, method and apparatus for accessing a representation of a category or item and accessing a set of multiple transactions. The transactions are processed to identify items found amongst the transactions, and the items are ordered based on an information-gain heuristic. A depth-first search for a group of best association rules is then conducted using a best-first heuristic and constraints that make the search efficient. The best rules found during the search can then be displayed to a user, along with accompanying statistics. The user can then select rules that appear to be most relevant, and further analytics can be applied to the selected rules to obtain further information about the information provided by these rules.

    Abstract translation: 本公开提供了一种用于访问类别或项目的表示并访问一组多个事务的计算机程序产品,系统,方法和装置。 处理事务以识别在事务之间找到的项目,并且这些项目是基于信息增益启发式排序的。 然后使用最佳先验启发式和约束条件进行一组最佳关联规则的深度优先搜索,从而使搜索更有效率。 然后可以在搜索过程中找到的最佳规则显示给用户,以及随附的统计信息。 然后,用户可以选择似乎最相关的规则,并且可以对所选规则应用进一步的分析,以获得关于由这些规则提供的信息的进一步的信息。

    Speech-to-analytics framework with support for large n-gram corpora

    公开(公告)号:US11217233B1

    公开(公告)日:2022-01-04

    申请号:US17370441

    申请日:2021-07-08

    Abstract: An apparatus includes processor(s) to: generate a set of candidate n-grams based on probability distributions from an acoustic model for candidate graphemes of a next word most likely spoken following at least one preceding word spoken within speech audio; provide the set of candidate n-grams to multiple devices; provide, to each node device, an indication of which candidate n-grams are to be searched for within the n-gram corpus by each node device to enable searches for multiple candidate n-grams to be performed, independently and at least partially in parallel, across the node devices; receive, from each node device, an indication of a probability of occurrence of at least one candidate n-gram within the speech audio; based on the received probabilities of occurrence, identify the next word most likely spoken within the speech audio; and add the next word most likely spoken to a transcript of the speech audio.

    SYSTEM AND METHODS FOR INTERACTIVE DISPLAYS BASED ON ASSOCIATIONS FOR MACHINE-GUIDED RULE CREATION
    5.
    发明申请
    SYSTEM AND METHODS FOR INTERACTIVE DISPLAYS BASED ON ASSOCIATIONS FOR MACHINE-GUIDED RULE CREATION 有权
    基于机器引导规则创建协会的互动显示系统和方法

    公开(公告)号:US20150193523A1

    公开(公告)日:2015-07-09

    申请号:US14662443

    申请日:2015-03-19

    Abstract: This disclosure provides a computer-program product, system, method and apparatus for accessing a representation of a category or item and accessing a set of multiple transactions. The transactions are processed to identify items found amongst the transactions, and the items are ordered based on an information-gain heuristic. A depth-first search for a group of best association rules is then conducted using a best-first heuristic and constraints that make the search efficient. The best rules found during the search can then be displayed to a user, along with accompanying statistics. The user can then select rules that appear to be most relevant, and further analytics can be applied to the selected rules to obtain further information about the information provided by these rules.

    Abstract translation: 本公开提供了一种用于访问类别或项目的表示并访问一组多个事务的计算机程序产品,系统,方法和装置。 处理事务以识别在事务之间找到的项目,并且这些项目是基于信息增益启发式排序的。 然后使用最佳先验启发式和约束条件进行一组最佳关联规则的深度优先搜索,从而使搜索更有效率。 然后可以在搜索过程中找到的最佳规则显示给用户,以及随附的统计信息。 然后,用户可以选择似乎最相关的规则,并且可以对所选规则应用进一步的分析,以获得关于由这些规则提供的信息的进一步的信息。

    System for expanding image search using attributes and associations

    公开(公告)号:US10191921B1

    公开(公告)日:2019-01-29

    申请号:US15944163

    申请日:2018-04-03

    Abstract: A system provides image search results based on a query that includes an attribute or an association and a concept identifier. The query is input into a trained query model to define a search syntax for the query. The search syntax is submitted to an expanded annotated image database that includes a concept image of a concept identified by the concept identifier with a plurality of attributes associated with the concept and a plurality of associations associated with the concept. A query result is received based on matching the defined search syntax to one or more of the attributes or one or more of the associations. The query result includes the concept image of the concept associated with the matched one or more of the attributes or one or more of the associations. The concept image included in the received query result is presented in a display.

    Systems and methods for interactive displays based on associations for machine-guided rule creation
    7.
    发明授权
    Systems and methods for interactive displays based on associations for machine-guided rule creation 有权
    基于机器引导规则创建的关联的交互式显示的系统和方法

    公开(公告)号:US09092734B2

    公开(公告)日:2015-07-28

    申请号:US14337203

    申请日:2014-07-21

    Abstract: This disclosure provides a computer-program product, system, method and apparatus for accessing a representation of a category or item and accessing a set of multiple transactions. The transactions are processed to identify items found amongst the transactions, and the items are ordered based on an information-gain heuristic. A depth-first search for a group of best association rules is then conducted using a best-first heuristic and constraints that make the search efficient. The best rules found during the search can then be displayed to a user, along with accompanying statistics. The user can then select rules that appear to be most relevant, and further analytics can be applied to the selected rules to obtain further information about the information provided by these rules.

    Abstract translation: 本公开提供了一种用于访问类别或项目的表示并访问一组多个事务的计算机程序产品,系统,方法和装置。 处理事务以识别在事务之间找到的项目,并且这些项目是基于信息增益启发式排序的。 然后使用最佳先验启发式和约束条件进行一组最佳关联规则的深度优先搜索,从而使搜索更有效率。 然后可以在搜索过程中找到的最佳规则显示给用户,以及随附的统计信息。 然后,用户可以选择似乎最相关的规则,并且可以对所选规则应用进一步的分析,以获得关于由这些规则提供的信息的进一步的信息。

    SYSTEMS AND METHODS FOR INTERACTIVE DISPLAYS BASED ON ASSOCIATIONS FOR MACHINE-GUIDED RULE CREATION
    8.
    发明申请
    SYSTEMS AND METHODS FOR INTERACTIVE DISPLAYS BASED ON ASSOCIATIONS FOR MACHINE-GUIDED RULE CREATION 有权
    基于机器指导规则协会的交互式显示系统和方法

    公开(公告)号:US20140337272A1

    公开(公告)日:2014-11-13

    申请号:US14337203

    申请日:2014-07-21

    Abstract: This disclosure provides a computer-program product, system, method and apparatus for accessing a representation of a category or item and accessing a set of multiple transactions. The transactions are processed to identify items found amongst the transactions, and the items are ordered based on an information-gain heuristic. A depth-first search for a group of best association rules is then conducted using a best-first heuristic and constraints that make the search efficient. The best rules found during the search can then be displayed to a user, along with accompanying statistics. The user can then select rules that appear to be most relevant, and further analytics can be applied to the selected rules to obtain further information about the information provided by these rules.

    Abstract translation: 本公开提供了一种用于访问类别或项目的表示并访问一组多个事务的计算机程序产品,系统,方法和装置。 处理事务以识别在事务之间找到的项目,并且这些项目是基于信息增益启发式排序的。 然后使用最佳先验启发式和约束条件进行一组最佳关联规则的深度优先搜索,从而使搜索更有效率。 然后可以在搜索过程中找到的最佳规则显示给用户,以及随附的统计信息。 然后,用户可以选择似乎最相关的规则,并且可以对所选规则应用进一步的分析,以获得关于由这些规则提供的信息的进一步的信息。

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