Abstract: A tag manager system provides access to a domain in a container in the tag manager system. A tag user navigates to an element in the domain (such as site pages, text elements, graphic elements, or video elements) and selects the element to validate its tag code from within the container. Based on results of the validation, the tag manager system updates the tag code corresponding to the element.
Abstract: 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.
Abstract: A device's location and an identifier corresponding to the device are received. The device's location is privatized by mapping it to landmarks proximate to the device's location, storing the proximate landmarks in association with the device's identifier, and discarding the received location data. The proximate landmarks are featurized to generate a model which is used to determine a value of the advertising opportunity corresponding to a target identifier.
Type:
Grant
Filed:
December 13, 2021
Date of Patent:
January 30, 2024
Assignee:
Quantcast Corporation
Inventors:
Eunsu Ryu, Sean Huang, Tong T. Pham, Joshua A. Job
Abstract: A column set server adapts to data use patterns by data consumers by modifying how a table produced by a data producer is partitioned into separate column sets to reduce the waste incurred in accessing the data by multiple consumers of the data. For example, the column set server adjusts a column set distribution when a new consumer process is added, when one is retired, or when relative data set size ratios change.
Abstract: A mobile device's location and an identifier corresponding to the mobile device is received. The mobile device's location is privatized by mapping it to landmarks proximate to the mobile device's location, storing the proximate landmarks in association with the mobile device's identifier, and discarding the received location data. The proximate landmarks are featurized to generate a model which is used to determine a value of the advertising opportunity corresponding to a target identifier.
Type:
Grant
Filed:
January 31, 2020
Date of Patent:
December 14, 2021
Assignee:
Quantcast Corporation
Inventors:
Eunsu Ryu, Sean Huang, Tong T. Pham, Joshua A. Job
Abstract: A column set server adapts to data use patterns by data consumers by modifying how a table produced by a data producer is partitioned into separate column sets to reduce the waste incurred in accessing the data by multiple consumers of the data. For example, the column set server adjusts a column set distribution when a new consumer process is added, when one is retired, or when relative data set size ratios change.
Abstract: 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.
Type:
Grant
Filed:
September 13, 2012
Date of Patent:
August 6, 2013
Assignee:
Quantcast Corporation
Inventors:
Charles Walsh Sugnet, Joseph Harlan Shoop, Sr., Paul G Sutter, Konrad S Feldman
Abstract: 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.
Type:
Grant
Filed:
June 27, 2013
Date of Patent:
March 29, 2016
Assignee:
Quantcast Corporation
Inventors:
Charles Walsh Sugnet, Joseph Harlan Shoop, Paul G. Sutter, Konrad S. Feldman
Abstract: An influence system for predicting advertisement impact for advertising response selection. A treatment group of entities is selected which have received an advertising treatment of a campaign. A control group of entities is selected which excludes the treatment group entities is selected which have not received the advertising treatment of the campaign. An influence model is created for each campaign by comparing features of the treatment group converters to features of the control group converters. A campaign is selected for an opportunity to expose a specified entity to advertising based on the result of applying each respective campaign's influence model to features of the specified entity.
Abstract: 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.
Abstract: 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.
Abstract: 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.
Abstract: 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.
Abstract: 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.
Abstract: 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.
Abstract: 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.
Abstract: 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.
Abstract: 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.
Abstract: A data operations system receives compressed data and a search term. The data operations system completes a modified decoding of the compressed data, resulting in distinguishable data terms that are smaller than the corresponding data terms, and loads modified decoded terms into a data register. The data operations system generates a truncated search term and loads instances of the truncated search term into a query register. The data operations system performs a parallel data operation, such as query operation, by comparing each of the modified decoded terms to an instance of the truncated search term. The data operations system returns the results of the operation.
Abstract: 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.