Abstract: Systems and methods disclosed herein generate a segment of tracked entities from a collection of profiles merged from different sources. Individuals and other entities use multiple electronic device and online accounts. Options for merging authentication-based profiles and device-based profiles of tracked entities are presented on a user interface accessible to a tracking entity. Systems and methods receive a selection of the options, the selection specifying criteria for merging authentication-based profiles with device-based profiles. Upon generating a collection of profiles by merging the authentication-based and device-based profiles based on the received options, a targeted segment of tracked entities is generated by applying defined segment rules to the collection of profiles.

Abstract: Techniques are disclosed that provide more accurate clustering of devices by forming clusters of devices and merging or changing clusters based on predetermined criteria. The technique starts with a large number of clusters (e.g., one for each account) and refines the clusters, for example, by merging clusters or determining which cluster a given device should be in when the device is associated with multiple clusters. One technique iteratively adjusts clusters of devices by merging clusters determined to be associated with a single user until a cluster contains all of the devices and accounts expected to be associated with a single user.

Abstract: Persistent profile identifiers can be produced to identify clusters of devices accessing a network in different time periods. In one embodiment, an apparatus uses a first identifier from a first group of identifiers to identify a first cluster of devices and uses a second identifier from a second group of identifiers to identify a second cluster of devices. Further, the apparatus determines that the first cluster of devices identified by the first identifier and the second cluster of devices identified by the second identifier form an edge in a maximum cluster matching. The apparatus provides the first identifier as a persistent identifier for the first cluster of devices and the second cluster of devices.

Abstract: Techniques are disclosed that provide more accurate clustering of devices by forming clusters of devices and merging or changing clusters based on predetermined criteria. The technique starts with a large number of clusters (e.g., one for each account) and refines the clusters, for example, by merging clusters or determining which cluster a given device should be in when the device is associated with multiple clusters. One technique iteratively adjusts clusters of devices by merging clusters determined to be associated with a single user until a cluster contains all of the devices and accounts expected to be associated with a single user.

Abstract: Techniques are disclosed that provide more accurate clustering of devices by forming clusters of devices and merging or changing clusters based on predetermined criteria. The technique starts with a large number of clusters (e.g., one for each account) and refines the clusters, for example, by merging clusters or determining which cluster a given device should be in when the device is associated with multiple clusters. One technique iteratively adjusts clusters of devices by merging clusters determined to be associated with a single user until a cluster contains all of the devices and accounts expected to be associated with a single user.

Abstract: Techniques are disclosed that provide more accurate clustering of devices by forming clusters of devices and merging or changing clusters based on predetermined criteria. The technique starts with a large number of clusters (e.g., one for each account) and refines the clusters, for example, by merging clusters or determining which cluster a given device should be in when the device is associated with multiple clusters. One technique iteratively adjusts clusters of devices by merging clusters determined to be associated with a single user until a cluster contains all of the devices and accounts expected to be associated with a single user.

Abstract: Systems and methods disclosed herein generate a segment of tracked entities from a collection of profiles merged from different sources. Individuals and other entities use multiple electronic device and online accounts. Options for merging authentication-based profiles and device-based profiles of tracked entities are presented on a user interface accessible to a tracking entity. Systems and methods receive a selection of the options, the selection specifying criteria for merging authentication-based profiles with device-based profiles. Upon generating a collection of profiles by merging the authentication-based and device-based profiles based on the received options, a targeted segment of tracked entities is generated by applying defined segment rules to the collection of profiles.

Abstract: Persistent profile identifiers can be produced to identify clusters of devices accessing a network in different time periods. In one embodiment, an apparatus uses a first identifier from a first group of identifiers to identify a first cluster of devices and uses a second identifier from a second group of identifiers to identify a second cluster of devices. Further, the apparatus determines that the first cluster of devices identified by the first identifier and the second cluster of devices identified by the second identifier form an edge in a maximum cluster matching. The apparatus provides the first identifier as a persistent identifier for the first cluster of devices and the second cluster of devices.