公开(公告)号：US20210110411A1

公开(公告)日：2021-04-15

申请号：US16600099

申请日：2019-10-11

Applicant: Adobe Inc.

Inventor： Yali Pollak ,  Vivek Sinha ,  Ajay Awatramani

IPC: G06Q30/02 ,  G06N20/00 ,  G06N7/00

Abstract: A method, in which one or more processing devices perform operations, includes executing a content-extraction agent that extracts activity data describing interactions with online resources by one or more user devices associated with a target entity. The method includes organizing the activity data into an input descriptive data structure associated with the target entity. The method includes computing a probability of the target entity belonging to a decision-making group by applying, to the input descriptive data structure, a role-classification model that is trained to determine probabilities that entities belong to the decision-making group. The method further includes transmitting an indication of the probability to a content provider, where transmitting the indication of the probability causes the content provider to customize interactive content to the target entity prior to a transmission of the interactive content to the one or more user devices.

公开(公告)号：US11222047B2

公开(公告)日：2022-01-11

申请号：US16263238

申请日：2019-01-31

Applicant: Adobe Inc.

Inventor： Yali Pollak ,  Alexander Gorohovski ,  Yana Segal ,  David Myers ,  Andrey Nikitin

IPC: G06F16/28 ,  G06F16/2455 ,  G06F16/901 ,  G06K9/62

Abstract: This disclosure relates to methods, non-transitory computer readable media, and systems that, upon identifying a set of distribution contacts, generate clusters of distribution contacts from a sampled subset of distribution contacts and assign remaining distribution contacts from the set to the generated clusters for visualization in a user interface. By clustering a representative sample of such distribution contacts, the disclosed methods, non-transitory computer readable media, and systems can quickly analyze and identify contact characteristics in clusters of distribution contacts, including common contact characteristics exhibited by a given cluster's contacts. The disclosed methods, non-transitory computer readable media, and systems can accordingly respond to user requests for a cluster analysis by expeditiously generating cluster visualizations identifying contact characteristics of clustered distribution contacts.