Search Patents
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Patent number: 8965336Abstract: 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.Type: GrantFiled: June 26, 2013Date of Patent: February 24, 2015Assignee: Quantcast CorporationInventor: Scott Michael Murff
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Patent number: 10506427Abstract: 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.Type: GrantFiled: January 18, 2019Date of Patent: December 10, 2019Assignee: Quantcast CorporationInventors: Konrad S. Feldman, Daniel Vogel Fernandez de Castro, Michael R. Blum
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Patent number: 9763085Abstract: 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.Type: GrantFiled: December 7, 2016Date of Patent: September 12, 2017Assignee: Quantcast CorporationInventors: Konrad S. Feldman, Daniel Vogel Fernandez de Castro, Michael R. Blum
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Patent number: 9775026Abstract: 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.Type: GrantFiled: March 31, 2017Date of Patent: September 26, 2017Assignee: Quantcast CorporationInventors: Konrad S. Feldman, Daniel Vogel Fernandez de Castro, Michael R. Blum
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Patent number: 10187790Abstract: 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.Type: GrantFiled: January 12, 2018Date of Patent: January 22, 2019Assignee: Quantcast CorporationInventors: Konrad S. Feldman, Daniel Vogel Fernandez de Castro, Michael R. Blum
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Patent number: 9906951Abstract: 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.Type: GrantFiled: June 30, 2017Date of Patent: February 27, 2018Assignee: Quantcast CorporationInventors: Konrad S. Feldman, Daniel Vogel Fernandez de Castro, Michael R. Blum