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node2bits: Compact Time- and Attribute-Aware Node Representations for User Stitching
Identity stitching, the task of identifying and matching various online references (eg, sessions
over different devices and timespans) to the same user in real-world web services, is crucial …
over different devices and timespans) to the same user in real-world web services, is crucial …
On online experimentation without device identifiers
Measuring human feedback via randomized experimentation is a cornerstone of data-driven
decision-making. The methodology used to estimate user preferences from their online …
decision-making. The methodology used to estimate user preferences from their online …
Direct inference of effect of treatment (diet) for a cookieless world
Brands use cookies and device identifiers to link different web visits to the same consumer.
However, with increasing demands for privacy, these identifiers are about to be phased out …
However, with increasing demands for privacy, these identifiers are about to be phased out …
Probabilistic visitor stitching on cross-device web logs
Personalization--the customization of experiences, interfaces, and content to individual
users--has catalyzed user growth and engagement for many web services. A critical …
users--has catalyzed user growth and engagement for many web services. A critical …
Privacy aware experiments without cookies
Consider two brands that want to jointly test alternate web experiences for their customers
with an A/B test. Such collaborative tests are today enabled usingthird-party cookies, where …
with an A/B test. Such collaborative tests are today enabled usingthird-party cookies, where …
Supervised learning for detection of duplicates in genomic sequence databases
Motivation First identified as an issue in 1996, duplication in biological databases introduces
redundancy and even leads to inconsistency when contradictory information appears. The …
redundancy and even leads to inconsistency when contradictory information appears. The …
Entity resolution in dynamic heterogeneous networks
Networks evolve continuously over time not only with the addition and deletion of links and
nodes but also with changes in the importance of edges. Even though many networks …
nodes but also with changes in the importance of edges. Even though many networks …
Associating user logs using geo-point density
ABSTRACT A method for clustering geolocations using geo-point den sity includes receiving
a user log of geolocation data extracted from user interactions with at least one electronic …
a user log of geolocation data extracted from user interactions with at least one electronic …
Utilizing a time-dependent graph convolutional neural network for fraudulent transaction identification
The present disclosure relates to utilizing a graph convolu tional neural network to generate
similarity probabilities between pairs of digital identities associated with digital transactions …
similarity probabilities between pairs of digital identities associated with digital transactions …
Bayesian Modeling of Marketing Attribution
In a multi-channel marketing world, the purchase decision journey encounters many
interactions (eg, email, mobile notifications, display advertising, social media, and so on) …
interactions (eg, email, mobile notifications, display advertising, social media, and so on) …