Abstract: Systems and methods of determining a geographic location based conversion via a computer network. A data processing system can receive, from a computing device, an indication of interest in an online content item that is associated with a commercial entity having a location. The system can also receive data points that each include time information and location information of a computing device. The system can generate a valid cluster indicating an activity at the location of the commercial entity by evaluating the time information and the location information of two or more data points with a duration threshold and a location threshold. The system can use the valid cluster to identify the indication of interest in the online content item as the location based conversion based on the activity at the location of the commercial entity.

Abstract: Multi-computing device network based cross-device conversion determination is described. A content selection computer server can identify cross-device conversions. A first computing device accesses third-party content via a first computer network connection. A second computing device accesses a webpage of the third-party content provider via a second computer network connection. The first and devices can be logged into a same online account. The content selection computer server can obtain, via a content tag that includes a script that executes on a webpage that includes the third-party content, data indicating that the first computing device accessed the third-party content. The selection computer server determines the conversion from the content tag and the second computing device having accessed the webpage.

Abstract: Multi-computing device network based cross-device conversion determination is described. A content selection computer server can identify cross-device conversions. A first computing device accesses third-party content via a first computer network connection. A second computing device accesses a webpage of the third-party content provider via a second computer network connection. The first and devices can be logged into a same online account. The content selection computer server can obtain, via a content tag that includes a script that executes on a webpage that includes the third-party content, data indicating that the first computing device accessed the third-party content. The selection computer server determines the conversion from the content tag and the second computing device having accessed the webpage.

Abstract: Systems and methods of determining a geographic location based conversion via a computer network. A data processing system can receive, from a computing device, an indication of interest in an online content item that is associated with a commercial entity having a location. The system can also receive data points that each include time information and location information of a computing device. The system can generate a valid cluster indicating an activity at the location of the commercial entity by evaluating the time information and the location information of two or more data points with a duration threshold and a location threshold. The system can use the valid cluster to identify the indication of interest in the online content item as the location based conversion based on the activity at the location of the commercial entity.

Abstract: Multi-computing device network based cross-device conversion determination is described. A content selection computer server can identify cross-device conversions. A first computing device accesses third-party content via a first computer network connection. A second computing device accesses a webpage of the third-party content provider via a second computer network connection. The first and devices can be logged into a same online account. The content selection computer server can obtain, via a content tag that includes a script that executes on a webpage that includes the third-party content, data indicating that the first computing device accessed the third-party content. The selection computer server determines the conversion from the content tag and the second computing device having accessed the webpage.

Abstract: Systems and methods of determining a geographic location based conversion via a computer network. A data processing system can receive, from a computing device, an indication of interest in an online content item that is associated with a commercial entity having a location. The system can also receive data points that each include time information and location information of a computing device. The system can generate a valid cluster indicating an activity at the location of the commercial entity by evaluating the time information and the location information of two or more data points with a duration threshold and a location threshold. The system can use the valid cluster to identify the indication of interest in the online content item as the location based conversion based on the activity at the location of the commercial entity.

Abstract: Systems and methods of determining a geographic location based conversion via a computer network. A data processing system can receive, from a computing device, an indication of interest in an online content item that is associated with a commercial entity having a location. The system can also receive data points that each include time information and location information of a computing device. The system can generate a valid cluster indicating an activity at the location of the commercial entity by evaluating the time information and the location information of two or more data points with a duration threshold and a location threshold. The system can use the valid cluster to identify the indication of interest in the online content item as the location based conversion based on the activity at the location of the commercial entity.

Abstract: Systems and methods of determining a geographic location based conversion via a computer network. A data processing system can receive, from a computing device, an indication of interest in an online content item that is associated with a commercial entity having a location. The system can also receive data points that each include time information and location information of a computing device. The system can generate a valid cluster indicating an activity at the location of the commercial entity by evaluating the time information and the location information of two or more data points with a duration threshold and a location threshold. The system can use the valid cluster to identify the indication of interest in the online content item as the location based conversion based on the activity at the location of the commercial entity.

Abstract: Systems and methods of determining a geographic location based conversion via a computer network. A data processing system can receive, from a computing device, an indication of interest in an online content item that is associated with a commercial entity having a location. The system can also receive data points that each include time information and location information of a computing device. The system can generate a valid cluster indicating an activity at the location of the commercial entity by evaluating the time information and the location information of two or more data points with a duration threshold and a location threshold. The system can use the valid cluster to identify the indication of interest in the online content item as the location based conversion based on the activity at the location of the commercial entity.

Abstract: Systems and methods of determining a geographic location based conversion via a computer network. A data processing system can receive, from a computing device, an indication of interest in an online content item that is associated with a commercial entity having a location. The system can also receive data points that each include time information and location information of a computing device. The system can generate a valid cluster indicating an activity at the location of the commercial entity by evaluating the time information and the location information of two or more data points with a duration threshold and a location threshold. The system can use the valid cluster to identify the indication of interest in the online content item as the location based conversion based on the activity at the location of the commercial entity.

Abstract: Methods and systems to facilitate the collaborative development, discovery and implementation of evidence-based, clinical pathways are disclosed. Clinicians, medical professionals or researchers, may use the Platform 105 in multiple implementation, such as integrated with a third-party system like an EHR 104 to build and find clinical pathways through a graphical interface, creating relational data records between steps in pathways. Further, users of the Platform 105 may be able to associate relevant content such as published evidence, supplemental content items (e.g., videos, images, documents, ICD, CPT, SNOMED codes, and external web pages), and other associated pathways which reside in the system's database. Users of the Platform 105 may be able organize themselves into groups and networks to develop single pathways collaboratively. Users may be able to find specific pathways in the Platform 105 through semantic search, querying for relationships which exist inside of individual pathways.

Abstract: Systems and methods of generating a valid cluster based on a location of a commercial entity via a computer network. A data processing system can receive the location of the commercial entity from an online content selection data structure, and can receive data points that comprise location information and time information associated with an identifier. Using the data points, the data processing system can create a location cluster having a first data point and subsequent data points that are within a threshold distance from the first data point. The data processing system can determine a cluster duration for each location and compare the cluster duration with a duration threshold to identify a set of valid location clusters. The valid location clusters can be filtered based on a proximity to the location of the commercial entity to identify a valid cluster that can be indicative of activity at the commercial entity.

Abstract: Systems and methods of determining a geographic location based conversion via a computer network. A data processing system can receive, from a computing device, an indication of interest in an online content item that is associated with a commercial entity having a location. The system can also receive data points that each include time information and location information of a computing device. The system can generate a valid cluster indicating an activity at the location of the commercial entity by evaluating the time information and the location information of two or more data points with a duration threshold and a location threshold. The system can use the valid cluster to identify the indication of interest in the online content item as the location based conversion based on the activity at the location of the commercial entity.

Abstract: Systems and methods for cross-device conversion estimates determine an observed number of cross-device conversions based on different sets of devices being logged into the same online accounts. The observed cross-device conversions are extrapolated out based on a percentage of one set of devices having logged into the same accounts as the second set of devices.

Abstract: A method and system to facilitate the collaborative development and discovery of evidence-based, clinical pathways. Clinicians, medical professionals or researchers, may use the Platform to build and find clinical pathways through a graphical interface, creating relational data records between steps in pathways. Further, users of the Platform may be able to associate relevant content such as published evidence, supplemental content items (e.g., videos, images, documents, ICD-11, CPT, SNOMED Clinical Terms, and external web pages), and other associated pathways which reside in the system's database. Users of the Platform may be able organize themselves into groups and networks to develop single pathways collaboratively. Users may be able to find specific pathways in the Platform through semantic search, querying for relationships which exist inside of individual pathways. Search results may be generated for a variety of user driven data, both explicit and implicit.