公开(公告)号：US12206925B2

公开(公告)日：2025-01-21

申请号：US17813622

申请日：2022-07-20

Applicant: ADOBE INC.

Inventor： Atanu R. Sinha ,  Aurghya Maiti ,  Atishay Ganesh ,  Saili Myana ,  Harshita Chopra ,  Sarthak Kapoor ,  Saurabh Mahapatra

IPC: H04N21/25 ,  H04N21/2668

Abstract: Systems and methods for content customization are provided. One aspect of the systems and methods includes receiving dynamic characteristics for a plurality of users, wherein the dynamic characteristics include interactions between the plurality of users and a digital content channel; clustering the plurality of users in a plurality of segments based on the dynamic characteristics using a machine learning model; assigning a user to a segment of the plurality of segments based on static characteristics of the user; and providing customized digital content for the user based on the segment.

公开(公告)号：US20240031631A1

公开(公告)日：2024-01-25

申请号：US17813622

申请日：2022-07-20

Applicant: ADOBE INC.

Inventor： Atanu R. Sinha ,  Aurghya Maiti ,  Atishay Ganesh ,  Saili Myana ,  Harshita Chopra ,  Sarthak Kapoor ,  Saurabh Mahapatra

IPC: H04N21/2668 ,  H04N21/25

CPC classification number: H04N21/2668 ,  H04N21/252

Abstract: Systems and methods for content customization are provided. One aspect of the systems and methods includes receiving dynamic characteristics for a plurality of users, wherein the dynamic characteristics include interactions between the plurality of users and a digital content channel; clustering the plurality of users in a plurality of segments based on the dynamic characteristics using a machine learning model; assigning a user to a segment of the plurality of segments based on static characteristics of the user; and providing customized digital content for the user based on the segment.

公开(公告)号：US20230342799A1

公开(公告)日：2023-10-26

申请号：US17660544

申请日：2022-04-25

Applicant: Adobe Inc.

Inventor： Aurghya Maiti ,  Atanu R Sinha ,  Harshita Chopra ,  Sarthak Kapoor ,  Atishay Ganesh ,  Saili Myana ,  Saurabh Mahapatra

IPC: G06N3/08 ,  G06Q30/02 ,  G06N3/04

CPC classification number: G06Q30/0204 ,  G06N3/0454 ,  G06N3/08 ,  G06Q30/0202

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for incorporating unobserved behaviors when generating user segments or predictions of future user actions. In particular, in one or more embodiments, the disclosed systems utilize a deep learning-based clustering algorithm that segments the behavioral history of users based on a future outcome. Further, the disclosed systems recognize that users may exhibit behaviors that represent two or more segments and allow for targeted marketing to users based on the user’s inclusion in multiple segments.