公开(公告)号：US11790379B2

公开(公告)日：2023-10-17

申请号：US17004377

申请日：2020-08-27

Applicant: ADOBE INC.

Inventor： Shiv Kumar Saini ,  Ritwik Sinha ,  Moumita Sinha ,  David Arbour

IPC: G06Q30/0201 ,  G06Q30/0204 ,  H04N21/81 ,  G06Q30/0242 ,  H04L67/50 ,  G06N7/01

CPC classification number: G06Q30/0201 ,  G06N7/01 ,  G06Q30/0205 ,  G06Q30/0242 ,  H04L67/535 ,  H04N21/812

Abstract: A method, apparatus, and non-transitory computer readable medium for data analytics are described. Embodiments of the method, apparatus, and non-transitory computer readable medium include monitoring online activity corresponding to a plurality of users; receiving aggregate marketing data for a marketing activity; identifying online activity data for a time period corresponding to the marketing activity based on the monitoring; generating a regression model based on the aggregate marketing data and the online activity data using Bayesian regression, wherein the regression model represents a relationship between the marketing activity and the online activity, comprises a time effect coefficient, and is based on a prior distribution of the time effect coefficient that decays to zero as time increases; and estimating a treatment effect for the marketing activity on the online activity based on the regression model, wherein the treatment effect comprises a rate of effect decay.

公开(公告)号：US20230139824A1

公开(公告)日：2023-05-04

申请号：US17519311

申请日：2021-11-04

Applicant: ADOBE INC.

Inventor： Trisha Mittal ,  Viswanathan Swaminathan ,  Ritwik Sinha ,  Saayan Mitra ,  David Arbour ,  Somdeb Sarkhel

IPC: G06Q30/02 ,  G06N20/00

Abstract: Various disclosed embodiments are directed to using one or more algorithms or models to select a suitable or optimal variation, among multiple variations, of a given content item based on feedback. Such feedback guides the algorithm or model to arrive at suitable variation result such that the variation result is produced as the output for consumption by users. Further, various embodiments resolve tedious manual user input requirements and reduce computing resource consumption, among other things, as described in more detail below.

公开(公告)号：US20220067753A1

公开(公告)日：2022-03-03

申请号：US17004377

申请日：2020-08-27

Applicant: ADOBE INC.

Inventor： SHIV KUMAR SAINI ,  Ritwik Sinha ,  Moumita Sinha ,  David Arbour

IPC: G06Q30/02 ,  G06N7/00 ,  H04L29/08 ,  H04N21/81

Abstract: A method, apparatus, and non-transitory computer readable medium for data analytics are described. Embodiments of the method, apparatus, and non-transitory computer readable medium include monitoring online activity corresponding to a plurality of users; receiving aggregate marketing data for a marketing activity; identifying online activity data for a time period corresponding to the marketing activity based on the monitoring; generating a regression model based on the aggregate marketing data and the online activity data using Bayesian regression, wherein the regression model represents a relationship between the marketing activity and the online activity, comprises a time effect coefficient, and is based on a prior distribution of the time effect coefficient that decays to zero as time increases; and estimating a treatment effect for the marketing activity on the online activity based on the regression model, wherein the treatment effect comprises a rate of effect decay.

公开(公告)号：US11232483B2

公开(公告)日：2022-01-25

申请号：US16682089

申请日：2019-11-13

Applicant: ADOBE INC.

Inventor： Ritwik Sinha ,  David Arbour ,  Aahlad Manas Puli

IPC: G06Q30/00 ,  G06Q30/02

Abstract: Systems and methods are described for a causal marketing attribution process that includes the receiving of a plurality of marketing events associated with a customer and computing a sum of a plurality of channel-specific terms corresponding to the plurality of marketing events, wherein each of the plurality of channel-specific terms comprises a channel-specific base parameter and a channel-specific decay parameter. Additionally, the causal marketing attribution process computes a sum of a plurality of interaction terms, wherein each interaction term comprises a product of a pair of channel-specific terms, and determines a probability of a target outcome for the customer based on the sum of the plurality of channel-specific terms and the sum of the plurality of interaction terms.

公开(公告)号：US20210224857A1

公开(公告)日：2021-07-22

申请号：US16746531

申请日：2020-01-17

Applicant: Adobe Inc.

Inventor： Ritwik Sinha ,  William George ,  Said Kobeissi ,  Raymond Wong ,  Prithvi Bhutani ,  Ilya Reznik ,  Fan Du ,  David Arbour ,  Chris Challis ,  Atanu Sinha ,  Anup Rao

IPC: G06Q30/02 ,  G06F16/22 ,  G06F3/0482

Abstract: The present disclosure describes systems, methods, and non-transitory computer readable media for generating lookalike segments corresponding to a target segment using decision trees and providing a graphical user interface comprising nodes representing such lookalike segments. Upon receiving an indication of a target segment, for instance, the disclosed systems can generate a lookalike segment from a set of users by partitioning the set of users according to one or more dimensions based on probabilities of subsets of users matching the target segment. By partitioning subsets of users within a node tree, the disclosed systems can identify different subsets of users partitioned according to different dimensions from the set of users. The disclosed systems can further provide a node tree interface comprising a node for the set of users and nodes for subsets of users within one or more lookalike segments.