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1. 发明授权

US08554767B2 Context-based interests in computing environments and systems 失效
标题翻译：计算环境和系统中基于上下文的兴趣
公开(公告)号：US08554767B2
公开(公告)日：2013-10-08
申请号：US12343395
申请日：2008-12-23
申请人： Yu Song , Sangoh Jeong , Doreen Cheng , Swaroop S. Kalasapur
发明人： Yu Song , Sangoh Jeong , Doreen Cheng , Swaroop S. Kalasapur
IPC分类号： G06F7/00
CPC分类号： G06Q30/02
摘要： Techniques for determining an interest in an object of interest in a given situation are disclosed. Multiple situation-based interest rating components can be provided for various situations. Each situation-based interest rating component can include an interest value indicative of interest in an object of interest in one of the situations. An input situation can then be obtained. One of the situation-based interest rating components can be identified matching an input situation. The relevance of one or more of the other situation-based interest rating components to the identified matching component can then be determined. This can, for example, be done by computing one or more distances between only the respective situation-based portions of the matching situation-based interest rating component and one or more of the other components, or based on the interest value-based portion of each component, or both.
摘要翻译：公开了在给定情况下确定感兴趣对象的兴趣的技术。可以为各种情况提供多种基于情境的兴趣等级组件。每种基于情境的利益分级组件可以包括在一种情况下指示感兴趣对象中的兴趣的兴趣值。然后可以获得输入情况。可以根据输入情况识别基于情境的兴趣评估组件之一。然后可以确定一个或多个其他基于情境的兴趣评估组件与所识别的匹配组件的相关性。例如，这可以通过仅计算匹配的基于状况的兴趣等级分量的各个基于状况的部分与一个或多个其它组件之间的一个或多个距离来实现，或者基于基于兴趣度的部分每个组件或两者。

2. 发明授权

US07979426B2 Clustering-based interest computation 有权
标题翻译：基于聚类的兴趣计算
公开(公告)号：US07979426B2
公开(公告)日：2011-07-12
申请号：US12371419
申请日：2009-02-13
申请人： Sangoh Jeong , Yu Song , Doreen Cheng , Swaroop S. Kalasapur
发明人： Sangoh Jeong , Yu Song , Doreen Cheng , Swaroop S. Kalasapur
IPC分类号： G06F7/00 , G06N5/02
CPC分类号： G06F17/30702
摘要： Data relating to usage patterns of the user are stored. The data includes a context portion having information as to the context in which items were used and an interest rating portion indicative of an interest of the user in one or more objects of interest. The data is clustered into clusters of data points. For each of the clusters, a centroid is determined. The centroid includes a context portion and an interest rating portion. A current context of the user is received. Clusters are selected by comparing a data point representing the current context with the context portion of one or more centroids. Based on the selected clusters, an interest rating is computed. The computed interest rating indicates an interest of the user in one of the one or more objects of interest, given the current context.
摘要翻译：存储与用户的使用模式有关的数据。数据包括具有关于使用项目的上下文的信息的上下文部分和指示用户在一个或多个感兴趣对象中的兴趣的兴趣评价部分。数据被聚集成数据点簇。对于每个聚类，确定质心。质心包括上下文部分和兴趣等级部分。接收到用户的当前上下文。通过将表示当前上下文的数据点与一个或多个质心的上下文部分进行比较来选择集群。基于所选择的集群，计算利息评级。计算的兴趣等级在给定当前上下文的情况下，表示用户在感兴趣的一个或多个对象之一中的兴趣。

3. 发明申请

US20090177689A1 SITUATION-AWARE PATTERN EXTRACTION AND RECOMMENDATION 失效
标题翻译：情况特征提取和建议
公开(公告)号：US20090177689A1
公开(公告)日：2009-07-09
申请号：US12406792
申请日：2009-03-18
申请人： Yu Song , Doreen Cheng , Sangoh Jeong , Swaroop S. Kalasapur
发明人： Yu Song , Doreen Cheng , Sangoh Jeong , Swaroop S. Kalasapur
IPC分类号： G06F17/30
CPC分类号： G06Q30/02
摘要： A method for determining user interests is provided, the method comprising: storing data items relating to usage patterns of the user, wherein the data items include an interest portion and a context portion; grouping the data items into context groups, each context group having data items with related context portions; for each context group, determining if the number of data items in the context group is greater than or equal to a first threshold; creating a first partition having context groups having a number of data items greater than or equal to the first threshold; averaging the ratings for interests in the data items in the context groups in the first partition, resulting in each context group in the first partition being a cluster; and deriving a user's interest by comparing a current context to a context group in the first partition.
摘要翻译：提供了一种用于确定用户兴趣的方法，所述方法包括：存储与所述用户的使用模式相关的数据项，其中所述数据项包括兴趣部分和上下文部分; 将数据项分组成上下文组，每个上下文组具有具有相关上下文部分的数据项; 对于每个上下文组，确定上下文组中的数据项的数量是否大于或等于第一阈值; 创建具有上下文组的第一分区，所述上下文组具有大于或等于所述第一阈值的多个数据项; 对第一分区中的上下文组中的数据项的兴趣的评级进行平均，导致第一分区中的每个上下文组是集群; 以及通过将当前上下文与第一分区中的上下文组进行比较来得出用户的兴趣。

4. 发明授权

US07899813B2 Situation-aware pattern extraction and recommendation 失效
标题翻译：情境意识模式提取与推荐
公开(公告)号：US07899813B2
公开(公告)日：2011-03-01
申请号：US12406792
申请日：2009-03-18
申请人： Yu Song , Doreen Cheng , Sangoh Jeong , Swaroop S. Kalasapur
发明人： Yu Song , Doreen Cheng , Sangoh Jeong , Swaroop S. Kalasapur
IPC分类号： G06F7/00 , G06N5/02
CPC分类号： G06Q30/02
摘要： A method for determining user interests is provided, the method comprising: storing data items relating to usage patterns of the user, wherein the data items include an interest portion and a context portion; grouping the data items into context groups, each context group having data items with related context portions; for each context group, determining if the number of data items in the context group is greater than or equal to a first threshold; creating a first partition having context groups having a number of data items greater than or equal to the first threshold; averaging the ratings for interests in the data items in the context groups in the first partition, resulting in each context group in the first partition being a cluster; and deriving a user's interest by comparing a current context to a context group in the first partition.
摘要翻译：提供了一种用于确定用户兴趣的方法，所述方法包括：存储与所述用户的使用模式相关的数据项，其中所述数据项包括兴趣部分和上下文部分; 将数据项分组成上下文组，每个上下文组具有具有相关上下文部分的数据项; 对于每个上下文组，确定上下文组中的数据项的数量是否大于或等于第一阈值; 创建具有上下文组的第一分区，所述上下文组具有大于或等于所述第一阈值的多个数据项; 对第一分区中的上下文组中的数据项的兴趣的评级进行平均，导致第一分区中的每个上下文组是集群; 以及通过将当前上下文与第一分区中的上下文组进行比较来得出用户的兴趣。

5. 发明授权

US08538948B2 Personal mashups 失效
标题翻译：个人混搭
公开(公告)号：US08538948B2
公开(公告)日：2013-09-17
申请号：US13347594
申请日：2012-01-10
申请人： Swaroop S. Kalasapur , Doreen Cheng , Yu Song , Sangoh Jeong
发明人： Swaroop S. Kalasapur , Doreen Cheng , Yu Song , Sangoh Jeong
IPC分类号： G06F17/30 , G06F17/00
CPC分类号： G06F17/3089
摘要： In a first embodiment of the present invention, a method for automated creation of a mashup is provided, the method comprising: receiving data needs of a user; identifying sources of data to satisfy the data needs by comparing the data needs to available data sources; retrieving metadata relating to the identified sources of data from a source metadata store; identifying services to satisfy the data needs by comparing the retrieved metadata to available services; retrieving metadata related to the identified services from a service metadata store; and generating a plan for supplying data from the identified sources of data to the identified services based on the retrieved metadata from the source metadata source and the retrieved metadata from the service metadata source.
摘要翻译：在本发明的第一实施例中，提供了一种用于自动创建混搭的方法，所述方法包括：接收用户的数据需求; 通过将数据需求与可用数据源进行比较来识别数据来满足数据需求; 从源元数据存储中检索与所识别的数据源相关的元数据; 通过将检索到的元数据与可用服务进行比较来识别服务以满足数据需求; 从服务元数据存储检索与所识别的服务有关的元数据; 以及基于来自源元数据源的检索到的元数据和来自服务元数据源的检索到的元数据，生成从所识别的数据源向所识别的服务提供数据的计划。

6. 发明授权

US08175902B2 Semantics-based interests in computing environments and systems 有权
标题翻译：计算环境和系统中基于语义的兴趣
公开(公告)号：US08175902B2
公开(公告)日：2012-05-08
申请号：US12343393
申请日：2008-12-23
申请人： Yu Song , Sangoh Jeong , Doreen Cheng , Swaroop S. Kalasapur
发明人： Yu Song , Sangoh Jeong , Doreen Cheng , Swaroop S. Kalasapur
IPC分类号： G06Q10/00 , G06Q30/00 , F41G9/00
CPC分类号： G06Q30/02 , G06Q10/063 , G06Q30/0242
摘要： An input situation can be represented by at least a first context variable. Data that includes interest values for multiple context variables can be provided and obtained. The obtained data can include a first data pertaining to the input situation and a second data pertaining to one or more other situations. It can be determined whether the first context variable is associated with a discrete range of values or a continuous range of values. At least a portion of data pertaining to the situations can be determined to be proximate data when the first context variable is associated with a continuous range of values. Based on the input situation and the proximate data, an interest value for the first input situation can be determined as a prediction of the interest in the input situation.
摘要翻译：输入情况可以由至少第一上下文变量表示。可以提供并获得包含多个上下文变量的兴趣值的数据。获得的数据可以包括关于输入情况的第一数据和与一个或多个其他情况有关的第二数据。可以确定第一上下文变量是否与值的离散范围或值的连续范围相关联。当第一上下文变量与值的连续范围相关联时，与情况有关的至少一部分数据可被确定为邻近数据。基于输入情况和近似数据，可以将第一输入情况的兴趣值确定为对输入情况的兴趣的预测。

7. 发明授权

US08117180B2 Personal mashups 有权
标题翻译：个人混搭
公开(公告)号：US08117180B2
公开(公告)日：2012-02-14
申请号：US12400687
申请日：2009-03-09
申请人： Swaroop S. Kalasapur , Doreen Cheng , Yu Song , Sangoh Jeong
发明人： Swaroop S. Kalasapur , Doreen Cheng , Yu Song , Sangoh Jeong
IPC分类号： G06F17/30 , G06F17/00
CPC分类号： G06F17/3089
摘要： In a first embodiment of the present invention, a method for automated creation of a mashup is provided, the method comprising: receiving data needs of a user; identifying sources of data to satisfy the data needs by comparing the data needs to available data sources; retrieving metadata relating to the identified sources of data from a source metadata store; identifying services to satisfy the data needs by comparing the retrieved metadata to available services; retrieving metadata related to the identified services from a service metadata store; and generating a plan for supplying data from the identified sources of data to the identified services based on the retrieved metadata from the source metadata source and the retrieved metadata from the service metadata source.
摘要翻译：在本发明的第一实施例中，提供了一种用于自动创建混搭的方法，所述方法包括：接收用户的数据需求; 通过将数据需求与可用数据源进行比较来识别数据来满足数据需求; 从源元数据存储中检索与所识别的数据源相关的元数据; 通过将检索到的元数据与可用服务进行比较来识别服务以满足数据需求; 从服务元数据存储检索与所识别的服务有关的元数据; 以及基于来自源元数据源的检索到的元数据和来自服务元数据源的检索到的元数据，生成从所识别的数据源向所识别的服务提供数据的计划。

8. 发明授权

US08478747B2 Situation-dependent recommendation based on clustering 失效
标题翻译：基于群集的情境依赖推荐
公开(公告)号：US08478747B2
公开(公告)日：2013-07-02
申请号：US12134143
申请日：2008-06-05
申请人： Sangoh Jeong , Hyuk Cho , Doreen Cheng , Yu Song , Swaroop Kalasapur
发明人： Sangoh Jeong , Hyuk Cho , Doreen Cheng , Yu Song , Swaroop Kalasapur
IPC分类号： G06F7/00 , G06N5/02
CPC分类号： G06F17/3087
摘要： Data relating to usage patterns of the user is stored, wherein the data includes an application portion having information as to items which were used and a context portion having information as to the context in which the items were used. The data is clustered into clusters of data points and centroid are computed, wherein the centroid includes an application portion and a context portion. Clusters similar to a current context of the user are selected by comparing a data point representing the current context of the user to the context portions of one or more of the centroids. For each of one or more items, a expectation value that the user wishes to use the corresponding item is computed, based on the application portions of the selected similar clusters, wherein the expectation values are used to recommend one or more of the items.
摘要翻译：存储与用户的使用模式相关的数据，其中数据包括具有关于所使用的项目的信息的应用部分和具有关于使用项目的上下文的信息的上下文部分。数据被聚集成数据点的聚类，并且计算质心，其中质心包括应用部分和上下文部分。通过将表示用户的当前上下文的数据点与一个或多个质心的上下文部分进行比较来选择与用户的当前上下文类似的集群。对于一个或多个项目中的每一个，基于所选择的相似群集的应用部分来计算用户希望使用相应项目的期望值，其中期望值用于推荐一个或多个项目。

9. 发明授权

US08046454B2 Identifying and recommending potential communication states based on patterns of use 失效
标题翻译：根据使用模式识别和推荐潜在的沟通状态
公开(公告)号：US08046454B2
公开(公告)日：2011-10-25
申请号：US12106237
申请日：2008-04-18
申请人： Yu Song , Swaroop Kalasapur , Doreen Cheng , Sangoh Jeong
发明人： Yu Song , Swaroop Kalasapur , Doreen Cheng , Sangoh Jeong
IPC分类号： G06F15/16 , G06F15/173 , G06F15/177
CPC分类号： H04L67/22 , H04L67/306
摘要： Techniques for identifying potential communication uses of various systems are disclosed. Identifying potential communication uses of a computing system can improve the manner in which the computing system is used by allowing more intelligent decisions and better choices to be made regarding its communication use. By way of example, communication applications (or tasks or services) that are likely (or more likely) to be used by a person in a particular situation can be identified as potential communication use of a particular device. Such potential uses can, for example, be made more assessable (or more readily available) and/or effectively recommended (or automatically initiated), thereby allowing a person to more conveniently use the device. By way of example, identifying communication applications or tasks that are likely to be used by a person in a particular situation for various reasons (e.g., preferences and/or habits of a person in a particular situation) as potential communication use of a system (e.g., computing and/or communication device) allows making the communications applications, tasks, or services more assessable and/or effectively recommending them for use in a particular situation.
摘要翻译：公开了用于识别各种系统的潜在通信用途的技术。识别计算系统的潜在通信使用可以通过允许更智能的决策和关于其通信使用的更好的选择来改善计算系统的使用方式。作为示例，可以将特定情况下的人可能（或更可能）使用的通信应用（或任务或服务）识别为特定设备的潜在通信使用。例如，这样的潜在用途可以被更可评估（或更容易获得）和/或有效推荐（或自动启动），从而允许人们更方便地使用该设备。作为示例，识别作为系统的潜在通信使用的各种原因（例如，特定情况下的人的偏好和/或习惯）识别特定情况下的人可能使用的通信应用或任务（例如，计算和/或通信设备）允许使通信应用，任务或服务更可评估和/或有效地推荐用于特定情况。

10. 发明授权

US08037007B2 Situation-aware thresholding for recommendation 失效
标题翻译：情境意识阈值推荐
公开(公告)号：US08037007B2
公开(公告)日：2011-10-11
申请号：US12109927
申请日：2008-04-25
申请人： Sangoh Jeong , Doreen Cheng , Yu Song , Swaroop Kalasapur
发明人： Sangoh Jeong , Doreen Cheng , Yu Song , Swaroop Kalasapur
IPC分类号： G06F17/00 , G06N5/02
CPC分类号： G06K9/6272 , G06N99/005
摘要： In one embodiment, data relating to usage patterns of the user is stored, wherein the data includes information as to items which were used and the context in which they were used. The data is then clustered into clusters of data points. Then a centroid is determined for each of the clusters. A cluster similar to a current context of the user is selected by comparing a data point representing the current context of the user to one or more of the centroids. For each of one or more items, a threshold based on values for a plurality of the centroids with respect to the corresponding item, wherein a threshold is used to compare with centroid value of an item in a selected cluster to determine whether to recommend the item.
摘要翻译：在一个实施例中，存储与用户的使用模式有关的数据，其中数据包括关于所使用的项目和使用它们的上下文的信息。然后将数据聚类成数据点簇。然后确定每个聚类的质心。通过将表示用户的当前上下文的数据点与一个或多个质心相比较来选择类似于用户的当前上下文的集群。对于一个或多个项目中的每一个，基于相对于相应项目的多个质心的值的阈值，其中阈值用于与所选择的集群中的项目的质心值进行比较，以确定是否推荐项目。

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