Adobe, Inc.

Aran Nayebi

Kourosh Modarresi

Jamie Mark Diner

Elizabeth T Chin

Pradeep Saikalyanachakravarthi Javangula

Paresh P Shenoy

Yi Liu

Segment valuation techniques usable in a digital medium environment are described. To do so, a segment valuation system first identifies the attributes that are significant in achievement of a desired metric (e.g., conversion) and then values segments based on those significant attributes. Attributes are selected from the trained model based on significance of those attributes towards achieving the desired metric. A valuation of a segment may then be calculated based on the valuations of these attributes. For example, inclusion of the selected attributes within a segment, and the valuations of those selected attributes, is then used by the segment valuation system to generate data describing a value of the segment towards achieving the metric.

Segment valuation in a digital medium environment

User data overlap determination in a digital medium environment is described. Initially, a user selects segments of user data for which a determination of overlap is to be made. For example, the user selects a segment representing users that are working professionals and a segment representing users that are mothers, such that working-mother users may correspond to the overlap. Regardless of the particular segments selected, an indication of those segments is received. One of multiple different overlap determining techniques&#x2014;which can include a combined MinHash and HyperLogLog (HLL) technique and an Inclusion-Exclusion technique&#x2014;may be selected for computing the overlap based on a number of segments indicated and numbers of users represented by the segments. The selected overlap determining technique is then used to compute the user data overlap between the indicated segments. Digital content including values indicative of the determined overlap is generated for presentation to a user.

User data overlap determination in a digital medium environment

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Palo Alto, CA, United States of America

Aran Nayebi