Labeling Context Slices To Produce a Storyline from Mobile Device Data
    1.
    发明申请
    Labeling Context Slices To Produce a Storyline from Mobile Device Data 有权
    从移动设备数据生成故事情节的标签背景片段

    公开(公告)号:US20140032208A1

    公开(公告)日:2014-01-30

    申请号:US13950169

    申请日:2013-07-24

    申请人: ARO, Inc.

    IPC分类号: G06F17/27

    摘要: Embodiments create and label context slices from observation data that together define a storyline of a user's movements. A context is a (possibly partial) specification of what a user was doing in the dimensions of time, place, and activity. Contexts can vary in their specificity, their semantic content, and their likelihood. A storyline is composed of a time-ordered sequence of contexts that partition a given span of time. A storyline is created through a process of data collection, slicing and labeling. Raw context data can be collected from a variety of observation sources with various error characteristics. Slicing refines the chaotic collection of contexts produced by data collection into a single consistent storyline composed of a sequence of contexts representing homogeneous time intervals. Labeling adds more specific and semantically meaningful data (e.g., geography, venue, activity) to the storyline produced by slicing.

    摘要翻译: 实施例创建和标注来自观察数据的上下文切片,其一起界定用户运动的故事情节。 上下文是用户在时间,地点和活动的维度上所做的(可能是部分的)规范。 语境可能会因特异性,语义内容和可能性而异。 故事情节由分配给定时间段的时间序列的上下文组成。 通过数据收集,切片和标签的过程创建故事情节。 原始上下文数据可以从具有各种错误特征的各种观察源收集。 切片将由数据收集产生的上下文的混乱集合精炼成由表示均匀时间间隔的上下文序列组成的单一一致故事情节。 标签将更具体和语义上有意义的数据(例如,地理位置,场地,活动)添加到由切片产生的故事情节。

    AUTOMATICALLY CREATING A HIERARCHICAL STORYLINE FROM MOBILE DEVICE DATA
    2.
    发明申请
    AUTOMATICALLY CREATING A HIERARCHICAL STORYLINE FROM MOBILE DEVICE DATA 审中-公开
    从移动设备数据自动创建分层故障

    公开(公告)号:US20150088492A1

    公开(公告)日:2015-03-26

    申请号:US14491095

    申请日:2014-09-19

    申请人: ARO, Inc.

    IPC分类号: G06F17/27

    CPC分类号: G06Q50/01 G06F17/3087

    摘要: Embodiments create and label contextual slices from observation data and aggregate slices into a hierarchical storyline for a user. A context is a (possibly partial) specification of what a user was doing in the dimensions of time, place, and activity. A storyline is composed of a time-ordered sequence of contexts that partition a given span of time that are arranged in groups at one or more hierarchical levels. A storyline is created through a process of data collection, slicing, labeling, and aggregating. Raw context data can be collected from a variety of observation sources with various error characteristics. Slicing refines the raw context data into a consistent storyline composed of a sequence of contexts representing homogeneous time intervals. Labeling adds more specific and semantically meaningful data (e.g., geography, venue, activity) to the slices. Aggregation identifies groups of slices that correspond to a single semantic concept.

    摘要翻译: 实施例创建和标注来自观察数据和聚合切片的上下文切片到用户的分层故事情节。 上下文是用户在时间,地点和活动的维度上所做的(可能是部分的)规范。 故事情节由时间序列的上下文组成,上下文序列划分在一个或多个分层级别以组排列的给定时间跨度。 通过数据收集,切片,标签和聚合的过程创建故事情节。 原始上下文数据可以从具有各种错误特征的各种观察源收集。 切片将原始上下文数据精炼成由表示均匀时间间隔的上下文序列组成的一致故事情节。 标签将更具体和语义上有意义的数据(例如,地理位置,场地,活动)添加到切片。 聚合识别与单个语义概念相对应的片段组。

    CONTEXTUAL INFORMATION PROVIDER
    3.
    发明申请
    CONTEXTUAL INFORMATION PROVIDER 有权
    背景资料提供者

    公开(公告)号:US20140032453A1

    公开(公告)日:2014-01-30

    申请号:US13950224

    申请日:2013-07-24

    申请人: ARO, Inc.

    IPC分类号: G06N5/02

    摘要: A user's context history is used to help select contextual information to provide to the user. Context data describing the user's current context is received and a plurality of information items corresponding to the user's current context are identified from a contextual information corpus. A personalized user behavior model for the user is applied to determine the likelihood that each of the identified information items will be of value to the user. One or more of the information items are selected based on the corresponding likelihoods and the selected information items are provided for presentation to the user.

    摘要翻译: 用户的上下文历史用于帮助选择提供给用户的上下文信息。 接收描述用户当前上下文的上下文数据,并从上下文信息语料库中识别与用户当前上下文相对应的多个信息项。 应用用于用户的个性化用户行为模型来确定每个所识别的信息项对用户来说是有价值的可能性。 基于相应的可能性来选择信息项中的一个或多个,并且提供所选择的信息项以呈现给用户。

    Contextual information provider
    4.
    发明授权
    Contextual information provider 有权
    上下文信息提供者

    公开(公告)号:US08892480B2

    公开(公告)日:2014-11-18

    申请号:US13950224

    申请日:2013-07-24

    申请人: ARO, Inc.

    摘要: A user's context history is used to help select contextual information to provide to the user. Context data describing the user's current context is received and a plurality of information items corresponding to the user's current context are identified from a contextual information corpus. A personalized user behavior model for the user is applied to determine the likelihood that each of the identified information items will be of value to the user. One or more of the information items are selected based on the corresponding likelihoods and the selected information items are provided for presentation to the user.

    摘要翻译: 用户的上下文历史用于帮助选择提供给用户的上下文信息。 接收描述用户当前上下文的上下文数据,并从上下文信息语料库中识别与用户当前上下文相对应的多个信息项。 应用用于用户的个性化用户行为模型来确定每个所识别的信息项对用户来说是有价值的可能性。 基于相应的可能性来选择信息项中的一个或多个,并且提供所选择的信息项以呈现给用户。

    Labeling context slices to produce a storyline from mobile device data
    5.
    发明授权
    Labeling context slices to produce a storyline from mobile device data 有权
    标注上下文切片,以从移动设备数据中产生故事情节

    公开(公告)号:US08838436B2

    公开(公告)日:2014-09-16

    申请号:US13950169

    申请日:2013-07-24

    申请人: ARO, Inc.

    摘要: Embodiments create and label context slices from observation data that together define a storyline of a user's movements. A context is a (possibly partial) specification of what a user was doing in the dimensions of time, place, and activity. Contexts can vary in their specificity, their semantic content, and their likelihood. A storyline is composed of a time-ordered sequence of contexts that partition a given span of time. A storyline is created through a process of data collection, slicing and labeling. Raw context data can be collected from a variety of observation sources with various error characteristics. Slicing refines the chaotic collection of contexts produced by data collection into a single consistent storyline composed of a sequence of contexts representing homogeneous time intervals. Labeling adds more specific and semantically meaningful data (e.g., geography, venue, activity) to the storyline produced by slicing.

    摘要翻译: 实施例创建和标注来自观察数据的上下文切片,其一起界定用户运动的故事情节。 上下文是用户在时间,地点和活动的维度上所做的(可能是部分的)规范。 语境可能会因特异性,语义内容和可能性而异。 故事情节由分配给定时间段的时间序列的上下文组成。 通过数据收集,切片和标签的过程创建故事情节。 原始上下文数据可以从具有各种错误特征的各种观察源收集。 切片将由数据收集产生的上下文的混乱集合精炼成由表示均匀时间间隔的上下文序列组成的单一一致故事情节。 标签将更具体和语义上有意义的数据(例如,地理位置,场地,活动)添加到由切片产生的故事情节。

    Creating Context Slices of a Storyline from Mobile Device Data
    6.
    发明申请
    Creating Context Slices of a Storyline from Mobile Device Data 审中-公开
    从移动设备数据创建故事情节的上下文切片

    公开(公告)号:US20140031060A1

    公开(公告)日:2014-01-30

    申请号:US13950150

    申请日:2013-07-24

    申请人: ARO, Inc.

    IPC分类号: H04W4/02

    摘要: Embodiments create and label context slices from observation data that together define a storyline of a user's movements. A context is a (possibly partial) specification of what a user was doing in the dimensions of time, place, and activity. Contexts can vary in their specificity, their semantic content, and their likelihood. A storyline is composed of a time-ordered sequence of contexts that partition a given span of time. A storyline is created through a process of data collection, slicing and labeling. Raw context data can be collected from a variety of observation sources with various error characteristics. Slicing refines the chaotic collection of contexts produced by data collection into a single consistent storyline composed of a sequence of contexts representing homogeneous time intervals. Labeling adds more specific and semantically meaningful data (e.g., geography, venue, activity) to the storyline produced by slicing.

    摘要翻译: 实施例创建和标注来自观察数据的上下文切片,其一起界定用户运动的故事情节。 上下文是用户在时间,地点和活动的维度上所做的(可能是部分的)规范。 语境可能会因特异性,语义内容和可能性而异。 故事情节由分配给定时间段的时间序列的上下文组成。 通过数据收集,切片和标签的过程创建故事情节。 原始上下文数据可以从具有各种错误特征的各种观察源收集。 切片将由数据收集产生的上下文的混乱集合精炼成由表示均匀时间间隔的上下文序列组成的单一一致故事情节。 标签将更具体和语义上有意义的数据(例如,地理位置,场地,活动)添加到由切片产生的故事情节。