Search Patents
  • Consumption history privacy
    Patent number: 8898164
    Abstract: 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.
    Type: Grant
    Filed: November 17, 2011
    Date of Patent: November 25, 2014
    Assignee: Quantcast Corporation
    Inventors: Konrad S. Feldman, Paul G. Sutter, Michael Recce
  • Automatic performance-triggered campaign adjustment
    Patent number: 10482496
    Abstract: Automatic performance triggered campaign adjustment. A hierarchical feature tree is generated. Each child node's feature is more specific than its respective parent node's feature. The discovery system creates a behavioral model comprising features of the feature tree which is used in the operation of an advertising campaign. A degraded model feature is detected at the discovery system by comparing a performance metric of a model feature from two different time windows. The discovery system matches a node of the feature tree with the degraded feature and selects a prospective model feature from an ancestor node of the matching feature's node. An estimated performance metric for the prospective model feature is determined and the results are used to decide if the prospective model feature should be incorporated into an updated model or not. The model can be updated with a new model feature selected from one or more prospective model features.
    Type: Grant
    Filed: October 22, 2014
    Date of Patent: November 19, 2019
    Assignee: Quantcast Corporation
    Inventor: Michael Recce
  • Tracking identifier synchronization
    Patent number: 8560669
    Abstract: A tracking identifier synchronization system using a convergent selection method comprises first party instructions accessed through a content provider and a synchronization system comprising a receiver, a composer and an output. First party instructions direct the client to submit a request comprising a third party cookie to a synchronization system. The composer generates setting instructions for execution at the client. Setting instructions comprise instructions to use a client-executed convergent selection method to select values first party cookies and, optionally, reporting instructions directing the client to transmit the values of client tracking identifiers. Repeated invocation of client-executed convergent selection methods results in the convergence of cookie values for many operational cases.
    Type: Grant
    Filed: September 26, 2007
    Date of Patent: October 15, 2013
    Assignee: Quantcast Corporation
    Inventors: Paul Sutter, Naveen Nalam
  • Incremental model training for advertisement targeting using real-time streaming data and model redistribution
    Patent number: 9224101
    Abstract: 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.
    Type: Grant
    Filed: May 24, 2012
    Date of Patent: December 29, 2015
    Assignee: Quantcast Corporation
    Inventor: Gaurav Chandalia
  • Consumption history privacy
    Patent number: 10296763
    Abstract: 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.
    Type: Grant
    Filed: October 2, 2015
    Date of Patent: May 21, 2019
    Assignee: Quantcast Corporation
    Inventors: Paul G. Sutter, Michael Recce, Konrad S. Feldman
  • Managing a distributed system processing a publisher's streaming data
    Patent number: 10951677
    Abstract: A distributed system processing a publisher's streaming data. The distributed system comprises multiple workers and publisher data stores, each publisher data store dedicated to a worker and a publisher. A sampling ratio (the fraction of data items for storage in the publisher's data store) is selected by a publisher data store's worker based on historical information. At least two workers select different sampling ratios. Data items representing an interaction between an entity and the publisher are received. Each data item is assigned to a worker for processing. A hash function is applied to the data item's identifier, resulting in a key value falling within the hash function's range. The scope of the publisher's data store is equal to the hash function's range multiplied by the sampling ratio of the publisher's data store. A data item with a key value within the scope of the publisher's data store is stored therein.
    Type: Grant
    Filed: May 20, 2019
    Date of Patent: March 16, 2021
    Assignee: Quantcast Corporation
    Inventors: Akshat Aranya, Mark Cooper
  • Privacy centric feature analysis for mobile devices
    Patent number: 9143932
    Abstract: 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: Grant
    Filed: July 8, 2013
    Date of Patent: September 22, 2015
    Assignee: Quantcast Corporation
    Inventors: Konrad S. Feldman, Daniel Vogel Fernandez de Castro, Michael R. Blum
  • Privacy centric feature analysis for mobile devices
    Patent number: 9775026
    Abstract: 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: Grant
    Filed: March 31, 2017
    Date of Patent: September 26, 2017
    Assignee: Quantcast Corporation
    Inventors: Konrad S. Feldman, Daniel Vogel Fernandez de Castro, Michael R. Blum
  • Privacy centric feature analysis for mobile devices
    Patent number: 10506427
    Abstract: 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: Grant
    Filed: January 18, 2019
    Date of Patent: December 10, 2019
    Assignee: Quantcast Corporation
    Inventors: Konrad S. Feldman, Daniel Vogel Fernandez de Castro, Michael R. Blum
  • Audience commonality and measurement
    Publication number: 20080086741
    Abstract: Audience commonality metrics for characterizing the relationship between networked media channels based on audience overlap of identified visitor entities and their related media consumption histories. Audience commonality metrics may be scalars or multi-dimensional metrics and may take into account and/or be used in conjunction with data related to on- or off-network media channels, on- or off-network activities, sociographics and/or demographics. The current invention may be used in the design of networked advertising campaigns, identification of new or unusual market segments and/or valuation of media buys. A system according to the current invention comprises access to a configuration, an input for receiving audience commonality data, an audience commonality metrics engine and an output for providing calculated audience commonality metrics.
    Type: Application
    Filed: April 6, 2007
    Publication date: April 10, 2008
    Applicant: Quantcast Corporation
    Inventors: Konrad Feldman, Paul Sutter
  • Detecting and reporting on consumption rate changes
    Patent number: 8667135
    Abstract: A method, system and computer readable storage medium for reporting on a measured change in a consumption rate. Media consumption histories for a plurality of entities are received. A monitored audience is selected from the plurality of entities by selecting entities which have completed an online purchase. A category value for each of two or more categories of media content is determined. One category of media content includes one or more items of media content. One category value represents the measured change in consumption rate for one category of media content for the monitored audience between at least two time intervals. One consumption rate is determined based on the number of times each item of media content in the one category has been delivered over a network during one time interval. A report including a reference to two or more categories and their associated category values is generated.
    Type: Grant
    Filed: April 8, 2013
    Date of Patent: March 4, 2014
    Assignee: Quantcast Corporation
    Inventors: Paul G. Sutter, Konrad S. Feldman
  • Privacy centric feature analysis for mobile devices
    Patent number: 9313656
    Abstract: 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: Grant
    Filed: August 14, 2015
    Date of Patent: April 12, 2016
    Assignee: Quantcast Corporation
    Inventors: Konrad S. Feldman, Daniel Vogel Fernandez de Castro, Michael R. Blum
  • Selective regulation of information transmission from mobile applications to third-party privacy compliant target systems
    Patent number: 11159573
    Abstract: Selective regulation of information transmission from mobile applications to an external system. A privacy policy is configured for and mapped to each of a multiplicity of mobile application concerns, with each privacy policy comprising rules regulating the transmission of information to an external system. Instrumentation instructions can be integrated with a mobile application or mobile operating system. The instrumentation instructions direct the mobile device to submit a privacy policy request comprising an identifier from the mobile device to a third-party privacy compliance system and enable sending information from the mobile device to the external system, subject to the privacy policy. The privacy policy request is received at the third-party privacy compliance system which selects the privacy policy based on an identifier and sends the privacy policy to the mobile device for implementation.
    Type: Grant
    Filed: February 24, 2020
    Date of Patent: October 26, 2021
    Assignee: Quantcast Corporation
    Inventors: Crispin Edward Harold Flowerday, Michael F. Kamprath, Faraaz Aejaz Sareshwala, Daniel Vogel Fernandez de Castro
  • Privacy centric feature analysis for mobile devices
    Patent number: 9906951
    Abstract: 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: Grant
    Filed: June 30, 2017
    Date of Patent: February 27, 2018
    Assignee: Quantcast Corporation
    Inventors: Konrad S. Feldman, Daniel Vogel Fernandez de Castro, Michael R. Blum
  • Automatic generation and management of advertising campaigns based on third-party listings
    Patent number: 10733635
    Abstract: Embodiments are directed to generating and managing an advertising campaign based on a third-party sales listing. In particular, an identifier associated with a sales listing posted over a third-party service from a user of the third-party service is received. Sales listing data for the sales listing is retrieved from the third-party service using the identifier associated with the sales listing. Thereafter, an advertising campaign is automatically generated based at least in part on the retrieved sales listing data. In one aspect, generation of the advertising campaign includes generating an advertising creative using the retrieved sales listing data. Subsequently, bidding on an advertising opportunity in an auction is performed according to the generated advertising campaign. Responsive to winning the auction, an advertisement based on the advertising creative is provided to a content provider associated with the advertising opportunity.
    Type: Grant
    Filed: September 30, 2017
    Date of Patent: August 4, 2020
    Assignee: Quantcast Corporation
    Inventors: Silvius V. Rus, Barney Govan, Nhat Bao Sinh Vu, Mark Cooper
  • Privacy centric feature analysis for mobile devices
    Patent number: 10911947
    Abstract: 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: Grant
    Filed: December 6, 2019
    Date of Patent: February 2, 2021
    Assignee: Quantcast Corporation
    Inventors: Konrad S. Feldman, Daniel Vogel Fernandez de Castro, Michael R. Blum
  • Detecting and reporting on consumption rate changes
    Patent number: 8438280
    Abstract: A method, system and computer readable storage medium for reporting on a measured change in a consumption rate. Media consumption histories for a plurality of entities are received. A monitored audience is selected from the plurality of entities by selecting entities which have completed an online purchase. A category value for each of two or more categories of media content is determined. One category of media content includes one or more items of media content. One category value represents the measured change in consumption rate for one category of media content for the monitored audience between at least two time intervals. One consumption rate is determined based on the number of times each item of media content in the one category has been delivered over a network during one time interval. A report including a reference to two or more categories and their associated category values is generated.
    Type: Grant
    Filed: December 3, 2012
    Date of Patent: May 7, 2013
    Assignee: Quantcast Corporation
    Inventors: Paul G. Sutter, Konrad S. Feldman
  • Privacy centric feature analysis for mobile devices
    Patent number: 10187790
    Abstract: 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: Grant
    Filed: January 12, 2018
    Date of Patent: January 22, 2019
    Assignee: Quantcast Corporation
    Inventors: Konrad S. Feldman, Daniel Vogel Fernandez de Castro, Michael R. Blum
  • Distributing data of multiple logically independent file systems in distributed storage systems including physically partitioned disks
    Patent number: 10684996
    Abstract: A distributed storage system maintains multiple logically independent file systems. Each file system includes a data set stored by a storage device of the distributed storage system. During operation, access pattern levels for the multiple logically independent file systems are determined. Thereafter, the data sets included in the multiple logically independent file systems are redistributed across multiple storage devices of the distributed storage. Redistribution of a particular data set is based at least in part on the particular file system including the particular data set and on the determined access pattern levels for the multiple logically independent file systems. In addition, each disk of a plurality of disks in the distributed storage includes a physically separated partition dedicated to storing the data of the file system that is most frequently accessed. The distribution of data is based at least in part on the presence of the physically separated partition.
    Type: Grant
    Filed: September 12, 2017
    Date of Patent: June 16, 2020
    Assignee: Quantcast Corporation
    Inventor: Silvius V. Rus
  • Preserving privacy related to networked media consumption activities
    Patent number: 10033768
    Abstract: Preserving privacy related to networked media consumption activity. Source privacy zones are defined and associated with privacy standards. Privacy standards include frequency criteria governing the storage of datasets including information associated with networked media consumption activity collected from the source privacy zone. Transaction requests including a networking protocol address are received over a network from a client device at a target location by a networked privacy system. The source privacy zone associated with the client device is identified. Using the networking protocol address to access characteristics having characteristic value(s), a dataset can be created including associating the networked media consumption activity with the characteristic and characteristic value(s). The dataset is pre-processed to comply with the privacy standards. The networking protocol address is discarded.
    Type: Grant
    Filed: September 30, 2017
    Date of Patent: July 24, 2018
    Assignee: Quantcast Corporation
    Inventor: Damian John Reeves
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