公开(公告)号：US10963627B2

公开(公告)日：2021-03-30

申请号：US16005217

申请日：2018-06-11

Applicant: Adobe Inc.

Inventor： Anandhavelu N ,  Padmanabhan Anandan ,  Niyati Chhaya ,  Cedric Huesler ,  Balaji Vasan Srinivasan ,  Atanu R Sinha

IPC: G06F40/166 ,  G06F3/0482 ,  G06N20/00 ,  G06F40/20

Abstract: This disclosure relates to methods, non-transitory computer readable media, and systems that, based on a sparse textual segment, can use machine learning models to generate document variants that are both conforming to digital content guidelines and uniquely tailored for distribution to client devices of specific audiences via specific delivery channels. To create such variants, in some embodiments, the methods, non-transitory computer readable media, and systems generate suggested modifications to a draft document that correspond to features of content-guideline-conforming documents. Additionally, or alternatively, in certain implementations, the disclosed methods, non-transitory computer readable media, and systems generate suggested modifications to a draft document that correspond to features of audience-channel-specific documents.

公开(公告)号：US10657559B2

公开(公告)日：2020-05-19

申请号：US15164698

申请日：2016-05-25

Applicant: Adobe Inc.

Inventor： Moumita Sinha ,  Meghanath Macha Yadagiri ,  Kokil Jaidka ,  Niyati Chhaya

IPC: G06Q30/02

Abstract: Methods and systems for providing targeted marketing include using consumer-centric indices to identify users who are most conversant with marketing communications. In particular, one or more embodiments generate a model that indicates a probability of user interactions based on dynamic data. The dynamic data indicates a time to action for each user interaction with a marketing communication within an observation window. The model fits the dynamic data to a distribution and determines the parameters of the distribution. Using the parameters of the distribution, one or more embodiments calculate interest scores for users who have received marketing communications. One or more embodiments select a set of users as a target audience based on the interest scores and provide marketing communications to target audience.

公开(公告)号：US20200004804A1

公开(公告)日：2020-01-02

申请号：US16025140

申请日：2018-07-02

Applicant: Adobe Inc.

Inventor： Balaji Vasan Srinivasan ,  Vishwa Vinay ,  Niyati Chhaya ,  Cedric Huesler

IPC: G06F17/21 ,  G06F17/24

Abstract: The present disclosure includes systems, methods, and non-transitory computer readable media that utilize a genetic framework to generate enhanced digital layouts from digital content fragments. In particular, in one or more embodiments, the disclosed systems iteratively generate a layout chromosome of digital content fragments, determine a fitness level of the layout chromosome, and mutate the layout chromosome until converging to an improved fitness level. The disclosed systems can efficiently utilize computing resources to generate a digital layout from a layout chromosome that is optimized to specified platforms, distribution audiences, and target optimization goals.