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81. 发明授权

US09753654B1 Managing distributed system performance using accelerated data retrieval operations 有权
公开(公告)号：US09753654B1
公开(公告)日：2017-09-05
申请号：US15166835
申请日：2016-05-27
申请人： Quantcast Corporation
发明人： Silvius V. Rus , Esteban Molina-Estolano
IPC分类号： G06F15/16 , G06F3/06 , H04L29/08 , G06F11/10
CPC分类号： G06F11/1076 , G06F3/061 , G06F3/0611 , G06F3/0619 , G06F3/064 , G06F3/0647 , G06F3/065 , G06F3/0659 , G06F3/067 , G06F11/1088 , H04L67/1097
摘要： A distributed system is adapted to manage the performance of distributed processes. In one aspect, multiple stripes associated with a data item are stored in a distributed storage. The stored stripes include one or more stripes of redundancy information for the data item. A distributed process including at least one task is performed. During performance of the distributed process, a determination is made as to whether to perform an accelerated data retrieval operation. Responsive to a determination to perform an accelerated data retrieval operation, at least one of the one or more stripes of redundancy information for the data item is requested from the distributed storage. Other stripes associated with the data item may also be requested from the distributed storage. After a sufficient subset of stripes associated with the data item is received, the data item is reconstructed using the subset.

82. 发明授权

US09330361B1 Inferring the presence of an entity within an identifier space based on the behaviors of unrelated entities 有权
标题翻译：基于不相关实体的行为，在标识符空间内推断实体的存在
公开(公告)号：US09330361B1
公开(公告)日：2016-05-03
申请号：US14752013
申请日：2015-06-26
申请人： Quantcast Corporation
发明人： Michael F. Kamprath , Sean McCormick , Wayne Yang
IPC分类号： G06N7/00
CPC分类号： G06N7/005 , G06N5/04
摘要： Embodiments of the invention build models to predict the likelihood of entities that operate in a given identifier space also operating in a disjoined identifier space based on a source panel of entities that operate in one or both of the identifier spaces. In operation, a model building engine builds a model based on features associated with the source panel and features associated with standard populations in the given identifier space. The model is used to determine whether the target entity is more similar to those entities in the source panel that operate only in the given identifier space or those entities in the source panel that operate in both identifier spaces.
摘要翻译：本发明的实施例构建模型以基于在一个或两个标识符空间中操作的实体的源面板来预测在给定标识符空间中操作的实体的似然性，其也在不连接的标识符空间中操作。在操作中，模型构建引擎基于与源面板相关联的特征和与给定标识符空间中的标准群体相关联的特征构建模型。该模型用于确定目标实体是否更为类似于仅在给定标识符空间中操作的源面板中的那些实体或在两个标识符空间中操作的源面板中的那些实体。

83. 发明授权

US09330209B1 Characterizing an entity in an identifier space based on behaviors of unrelated entities in a different identifier space 有权
标题翻译：基于不相关实体在不同标识符空间中的行为来识别标识符空间中的实体
公开(公告)号：US09330209B1
公开(公告)日：2016-05-03
申请号：US13937864
申请日：2013-07-09
申请人： Quantcast Corporation
发明人： Michael F. Kamprath , Sean McCormick , Scott Michael Murff
IPC分类号： G06Q30/02 , G06F17/50
CPC分类号： G06Q30/0251 , G06Q30/02 , G06Q30/0241 , G06Q30/0254 , G06Q30/0276 , G06Q30/0277
摘要： Models are built based on existing histories in one identifier space to infer features of entities in a different identifier space. A source model is built using features of an archetypical population in a given identifier space and the standard population. A join panel, i.e., a set of entities operating across both the given identifier space and a second disjoined identifier space, is scored using the source model. Based on the scores and features associated with the entities in the join panel within the second identifier space, a target model specific to the second identifier space is built. An audience of entities within the second identifier space can then be scored using the target model to identify entities that are similar to the archetypical population.
摘要翻译：模型基于一个标识符空间中的现有历史构建，以推断不同标识符空间中的实体的特征。源模型使用给定标识符空间和标准人口中的原型人口的特征构建。使用源模型评估连接面板，即在给定标识符空间和第二分离标识符空间两者上运行的一组实体。基于与第二标识符空间内的连接面板中的实体相关联的分数和特征，构建了特定于第二标识符空间的目标模型。然后可以使用目标模型对第二标识符空间内的实体的受众进行评分，以识别类似于典型人口的实体。

84. 发明授权

US09313656B1 Privacy centric feature analysis for mobile devices 有权
公开(公告)号：US09313656B1
公开(公告)日：2016-04-12
申请号：US14826618
申请日：2015-08-14
申请人： Quantcast Corporation
发明人： Konrad S. Feldman , Daniel Vogel Fernandez de Castro , Michael R. Blum
IPC分类号： H04W12/02 , H04W4/02
CPC分类号： H04W12/02 , H04M1/72577 , H04W4/02 , H04W4/021 , H04W4/023
摘要： Privacy centric feature analysis. A secure set of multiple mapped features is selected and provided to a mobile device. Each mapped feature maps a sharable feature to a matching criterion for an item of protected information and no combination of mapped features for a secure set are unique to an individual item of protected information. Privacy compliance instructions enable the mobile device to select a mapped feature from a received set of mapped features by identifying an item of protected information available to the mobile device which corresponds to a matching criterion found in the received set of mapped features. The sharable feature of the selected mapped feature is identified and sent to a privacy compliant destination. Advantageously, the analysis system protects the privacy of the mobile device user because it does not require the mobile device to relay protected information for the selection of customized content or relevant advertisements.

85. 发明授权

US09307357B1 Quantifying mobility of mobile devices via a privacy preserving mobility metric 有权
公开(公告)号：US09307357B1
公开(公告)日：2016-04-05
申请号：US14752036
申请日：2015-06-26
申请人： Quantcast Corporation
发明人： Scott Michael Murff
IPC分类号： H04M1/66 , H04W24/00 , G06Q30/00 , H04W4/02 , H04W64/00
CPC分类号： H04W4/023 , G01S5/00 , G01S5/0205 , H04L29/08657 , H04W4/02 , H04W4/029 , H04W8/02 , H04W64/00 , H04W64/003 , H04W64/006
摘要： Embodiments of the invention generate metrics quantifying the mobility of a mobile device without persisting information related to the device's specific location at any given time. Specifically, at multiple intervals, a value of a mobility metric is computed based on the distance between the current location of the mobile device and a previously identified origin location of the mobile device. The values of the mobility metric computed over a period of time quantify the overall mobility of the mobile device. The mobility metric does not provide any information regarding the specific location of the mobile device at any given time.

86. 发明授权

US09299091B1 Audience Segment Selection 有权
标题翻译：观众细分选择
公开(公告)号：US09299091B1
公开(公告)日：2016-03-29
申请号：US13929149
申请日：2013-06-27
申请人： Quantcast Corporation
发明人： Charles Walsh Sugnet , Joseph Harlan Shoop , Paul G. Sutter , Konrad S. Feldman
IPC分类号： G06F3/00 , G06Q30/02 , G06F3/0484
CPC分类号： G06Q30/0273 , G06F3/0484 , G06Q30/02
摘要： A user interface for selecting an audience segment from a pool of tracked entities based on an aggregate similarity of the audience segment to an archetypical audience. A graphical representation illustrating a relationship between a composite index for the audience segment and an audience segment size are displayed to the user. User input indicating the archetypical audience and the audience segment is received by a system and the audience segment is assembled. The composite index and the audience segment size associated with the audience segment, are determined and displayed.
摘要翻译：用户界面，用于基于观众段与原型受众的聚合相似度，从跟踪实体池中选择观众段。向用户显示示出了观众段的综合索引与观众段大小之间的关系的图形表示。表示原型观众和观众段的用户输入由系统接收并且观众段被组装。确定并显示与观众段相关联的综合指数和观众段大小。

87. 发明授权

US09224101B1 Incremental model training for advertisement targeting using real-time streaming data and model redistribution 有权
标题翻译：使用实时流数据和模型再分配进行广告定位的增量模型训练
公开(公告)号：US09224101B1
公开(公告)日：2015-12-29
申请号：US13480315
申请日：2012-05-24
申请人： Gaurav Chandalia
发明人： Gaurav Chandalia
IPC分类号： G06N99/00 , G06N5/02 , G06K9/62
CPC分类号： G06N99/005 , G06K9/6256 , G06N5/02 , G06N5/04 , G06Q30/00 , G06Q30/0269 , G06Q30/0275
摘要： Incremental model training for advertisement targeting is performed using streaming data. A model for targeting advertisements of an advertising campaign is initialized. A data stream including data corresponding to converters and data corresponding to non-converters is received. The model is then applied to the data corresponding to the converter and data corresponding to the non-converter (or other ratio of converter to non-converters) to obtain a predicted score for each. The predicted score is compared to the observed score (e.g., an observed score of 1 for a converter, and 0 for a non-converter). The difference between the predicted and observed scores is computed, and the model is incrementally updated based on this difference. Models can optionally be built separately on multiple modeling servers that are geographically dispersed in order to support bidding on advertising opportunities in a real-time bidding environment.
摘要翻译：使用流数据进行广告定位的增量模型训练。用于定位广告活动广告的模型已初始化。接收包括对应于转换器的数据和对应于非转换器的数据的数据流。然后将该模型应用于对应于转换器的数据和对应于非转换器（或转换器与非转换器的其他比率）的数据，以获得每个的转换器的预测分数。将预测得分与观察得分进行比较（例如，转换器的观察得分为1，非转换器的观测得分为0）。计算预测值和观察值之间的差值，并根据该差异逐步更新模型。可以选择在多个地理分散的建模服务器上单独构建模型，以便在实时出价环境中支持对广告机会的出价。

88. 发明授权

US09191779B1 Quantifying mobility of mobile devices via a privacy preserving mobility metric 有权
公开(公告)号：US09191779B1
公开(公告)日：2015-11-17
申请号：US14529505
申请日：2014-10-31
申请人： Quantcast Corporation
发明人： Scott Michael Murff
IPC分类号： H04M1/66 , H04W24/00 , H04W4/02 , H04W64/00
CPC分类号： H04W4/023 , G01S5/00 , G01S5/0205 , H04L29/08657 , H04W4/02 , H04W4/029 , H04W8/02 , H04W64/00 , H04W64/003 , H04W64/006
摘要： Embodiments of the invention generate metrics quantifying the mobility of a mobile device without persisting information related to the device's specific location at any given time. Specifically, at multiple intervals, a value of a mobility metric is computed based on the distance between the current location of the mobile device and a previously identified origin location of the mobile device. The values of the mobility metric computed over a period of time quantify the overall mobility of the mobile device. The mobility metric does not provide any information regarding the specific location of the mobile device at any given time.

89. 发明授权

US09189652B1 Consumption history privacy 有权
标题翻译：消费历史隐私
公开(公告)号：US09189652B1
公开(公告)日：2015-11-17
申请号：US14508787
申请日：2014-10-07
申请人： Quantcast Corporation
发明人： Paul G. Sutter , Michael Recce , Konrad S. Feldman
IPC分类号： G06F7/00 , G06F17/30 , G06F21/62 , G06Q30/02
CPC分类号： G06F21/6254 , G06F17/30864 , G06F21/6263 , G06Q30/0256 , G06Q30/0275
摘要： An audience selection system for the selection of an entity, based on an entity's consumption history without requiring the storage of a content descriptor for identifying content previously accessed by the entity. By directly and/or indirectly observing the usage of words used to locate content through a search engine over time for a population, a list of depersonalized keywords can be discovered, creating the ability to characterize content based on depersonalized keywords. A protected consumption history can be recorded for an entity using depersonalized keywords instead of recording a content descriptor for identifying the content. Depersonalized keywords do not uniquely identify content. Associating depersonalized keywords with an entity does not mean that the entity has used those depersonalized keywords; it only means that the entity has accessed content which has been accessed in the past by other entities in a population using the depersonalized keywords.
摘要翻译：用于基于实体的消费历史选择实体的观众选择系统，而不需要存储用于识别由该实体先前访问的内容的内容描述符。通过直接和/或间接地观察用于通过搜索引擎定位内容的词语对于人口随时间的使用，可以发现非个人化关键词的列表，从而创建基于非个人化关键词来表征内容的能力。可以使用非个人化关键词而不是记录用于识别内容的内容描述符来记录实体的受保护消费历史。非个人化关键字不能唯一标识内容。将个人化关键字与实体相关联并不意味着该实体使用了这些非个人化关键字; 这仅仅意味着该实体已经访问过去使用非个人化关键词的人群中的其他实体访问过的内容。

90. 发明授权

US08965336B1 Quantifying mobility of mobile devices via a privacy preserving mobility metric 有权
标题翻译：通过隐私保护移动性度量来量化移动设备的移动性
公开(公告)号：US08965336B1
公开(公告)日：2015-02-24
申请号：US13927860
申请日：2013-06-26
申请人： Quantcast Corporation
发明人： Scott Michael Murff
IPC分类号： H04M1/66 , H04W24/00 , H04W12/02 , H04W8/02
CPC分类号： H04W4/023 , G01S5/00 , G01S5/0205 , H04L29/08657 , H04W4/02 , H04W4/029 , H04W8/02 , H04W64/00 , H04W64/003 , H04W64/006
摘要： Embodiments of the invention generate metrics quantifying the mobility of a mobile device without persisting information related to the device's specific location at any given time. Specifically, at multiple intervals, a value of a mobility metric is computed based on the distance between the current location of the mobile device and a previously identified origin location of the mobile device. The values of the mobility metric computed over a period of time quantify the overall mobility of the mobile device. The mobility metric does not provide any information regarding the specific location of the mobile device at any given time.
摘要翻译：本发明的实施例产生量化移动设备的移动性的度量，而不需要在任何给定时间持续与设备的特定位置相关的信息。具体地，在多个间隔，基于移动设备的当前位置与先前识别的移动设备的原始位置之间的距离来计算移动性度量的值。在一段时间内计算的移动性度量的值量化移动设备的整体移动性。在任何给定的时间，移动性度量不提供关于移动设备的特定位置的任何信息。

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