Abstract:
Example processes may include identifying online activity associated with content from a content provider; determining a first set of identification information, where the first set of identification information identifies users corresponding to the identified online activity associated with the content from the content provider; transmitting the first set of identification information to a first service and receiving, in return, a second set of different identification information; transmitting items of the second set of different identification information to a second different service and receiving, in return, aggregated offline transaction information corresponding to a set of transactions for users that are included in the second set of different identification information; attributing transactions indicated by the aggregated offline transaction information; and providing a report to the content provider that is based on the aggregated offline transaction information.
Abstract:
In one aspect, a method and system is provided for facilitating a native web app, the method including receiving a request from a user at a first mobile device to install a native web application (“app”) providing functionality associated with a web app associated with a uniform resource locator (“URL”) from an app store, the web app providing a set of content displayable by a browser app at a user mobile device, accessing the native web app, the native web app including a manifest file including a set of permissions including a permission for displaying a browser app in full screen mode and a set of instructions including instructions for launching a browser app at the first mobile device in full screen mode using the URL, and installing the native web app on the first mobile device.
Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer-readable storage medium, and including a method for managing privacy rights of a user related to the delivery of content. The method comprises providing a global privacy management interface that presents a selection tool for enabling a user to review privacy options and interests. The privacy options and interests include controls for presenting a list of identifiers that are associated with the user and interests associated with those identifiers. Each identifier is associated with a requesting source having been used by the user to access content. The interface enables de-selection of individual interests on a per-identifier or global basis. The method further comprises determining, in a server system, content to deliver to the user in view of the privacy selections.
Abstract:
A method, executed on a processor, for serving a video content segment at an online resource includes receiving a request for a video content segment having one or more playback features; identifying, by the processor, one or more candidate video content segments responsive to the request; accessing, by the processor, for each of the candidate video content segments, a score based on (i) one or more metrics related to a measure of the probability of the video content segment being played and (ii) a bid; identifying, by the processor, one or more candidate sets of candidate video segments, where, for each set, the candidate video content segments in the set collectively satisfy the one or more playback features; and selecting, by the processor, in response to the request, one of the candidate sets whose cumulative scores are higher than at least one other candidate set.
Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer-readable storage medium, and including a method for selecting content. The method comprises: anonymously linking plural identifiers, each associated with a user and specific requesting source, including linking at least two different identifiers associated with two different requesting sources used to access content, and linking the identifiers using an identifier not including any personally identifiable information; storing impression, click and interaction data for the user in association with respective identifiers; receiving a request for content from a user using a specific requesting source, the request including a first identifier associated with the specific requesting source; identifying plural candidate content items responsive to the request; determining a quality score for each candidate content item using stored impression, click and interaction data for the first and linked identifiers; selecting a content item based on quality scores; and providing the selected content item.
Abstract:
The present disclosure is directed to a technique to reduce latency in feedback-based system performance determination. A system receives, from an application developer device, indications of an in-application event and a first input value for an application content delivery profile. The system receives, via an interface from an application developed by an application developer and executed by a computing device remote from the data processing system and different from the application developer device, a ping indicative of an occurrence of the in-application event on the computing device. The system merges data from the ping with internal data determined by the data processing system to generate merged data. The system determines a predicted performance for the in-application event and provides an indication of the predicted performance. The system configures, responsive to the indication of the predicted performance, the application content delivery profile with a second input value.
Abstract:
Systems and methods of matching identifiers between multiple datasets are described herein. A system can transmit a first identifier vector to a third party server. The first identifier vector can include a first identifier, first parameters, and second parameters. The system can receive, from the third party server, the first identifier vector encrypted based on a third-party encryption. The system can receive, from the third party server, a second identifier vector encrypted based on the third-party encryption associated with the third party server. The second identifier vector can include a second identifier, third parameters, and fourth parameters. The system can determine a correlation count between the first identifier vector and the second identifier vector. The system can determine that the first identifier corresponds to the second identifier based on the correlation count. The system can generate one identifier key for both the first identifier and the second identifier.
Abstract:
A method, includes receiving a first data packet with transaction data representing a transaction of a user at a storefront. The transaction data is parsed and decrypted to obtain a first identifier. The method further includes receiving a second data packet with interaction data representing an interaction with a content item on a resource. A log file is created that indexes the interaction data, including a second identifier. The transaction data and interaction data are compared, and it is determined if the first identifier and the second identifier are both associated with the user. The method further includes attributing the transaction at the storefront to the interaction of the user with the content item in response to the determination that the first identifier and the second identifier are both associated with the user. Conversion data is generated and stored indicating the attribution.
Abstract:
Systems and methods of matching identifiers between multiple datasets are described herein. A system can transmit a first identifier vector to a third party server. The first identifier vector can include a first identifier, first parameters, and second parameters. The system can receive, from the third party server, the first identifier vector encrypted based on a third-party encryption. The system can receive, from the third party server, a second identifier vector encrypted based on the third-party encryption associated with the third party server. The second identifier vector can include a second identifier, third parameters, and fourth parameters. The system can determine a correlation count between the first identifier vector and the second identifier vector. The system can determine that the first identifier corresponds to the second identifier based on the correlation count. The system can generate one identifier key for both the first identifier and the second identifier.
Abstract:
Systems and methods of matching identifiers between multiple datasets are described herein. A system can transmit a first identifier vector to a third party server. The first identifier vector can include a first identifier, first parameters, and second parameters. The system can receive, from the third party server, the first identifier vector encrypted based on a third-party encryption. The system can receive, from the third party server, a second identifier vector encrypted based on the third-party encryption associated with the third party server. The second identifier vector can include a second identifier, third parameters, and fourth parameters. The system can determine a correlation count between the first identifier vector and the second identifier vector. The system can determine that the first identifier corresponds to the second identifier based on the correlation count. The system can generate one identifier key for both the first identifier and the second identifier.