公开(公告)号：US20230316124A1

公开(公告)日：2023-10-05

申请号：US17709615

申请日：2022-03-31

Applicant: Adobe Inc.

Inventor： Gautam Choudhary ,  Sk Izajur Rahaman ,  Siba Smarak Panigrahi ,  Prithvi Bhutani ,  Manoj Kilaru ,  Kanishk Singh ,  Iftikhar Ahamath Burhanuddin ,  Aditi Singhania

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: In some embodiments, techniques for identifying bot activity are provided. For example, a process may involve receiving a plurality of samples, wherein each sample is a record of click activity; classifying the plurality of samples among a first class and a second class, using a machine learning model trained by a training process, to produce a corresponding plurality of classification predictions; filtering click activity data, based on information from the plurality of classification predictions, to produce filtered click activity data; and causing a user interface of a computing environment to be modified based on information from the filtered click activity data. The training process includes training the machine learning model to classify samples among the first and second classes, using a training set of samples of the first class, a training set of samples of the second class, and values of a topological loss function calculated based on the training sets.

公开(公告)号：US20240320421A1

公开(公告)日：2024-09-26

申请号：US18338033

申请日：2023-06-20

Applicant: Adobe Inc.

Inventor： Victor Soares Bursztyn ,  Wei Zhang ,  Prithvi Bhutani ,  Eunyee Koh ,  Abhisek Trivedi

IPC: G06F40/186

CPC classification number: G06F40/186

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for generating naturally phrased insights about data charts using light language models distilled from large language models. To synthesize training data for the light language model, in some embodiments, the disclosed systems leverage insight templates for prompting a large language model for generating naturally phrased insights. In some embodiments, the disclosed systems anonymize and augment the synthesized training data to improve the accuracy and robustness of model predictions. For example, the disclosed systems anonymize training data by injecting noise into data charts before prompting the large language model for generating naturally phrased insights from insight templates. In some embodiments, the disclosed systems further augment the (anonymized) training data by splitting or partitioning data charts into folds that act as individual data charts.

公开(公告)号：US20240232775A9

公开(公告)日：2024-07-11

申请号：US17969643

申请日：2022-10-19

Applicant: Adobe Inc.

Inventor： Atanu R. Sinha ,  Shiv Kumar Saini ,  Prithvi Bhutani ,  Nikhil Sheoran ,  Kevin Cobourn ,  Jeff D. Chasin ,  Fan Du ,  Eric Matisoff

IPC: G06Q10/0639 ,  G06F3/0484

CPC classification number: G06Q10/06393 ,  G06F3/0484

Abstract: In some examples, an environment evaluation system accesses interaction data recording interactions by users with an online platform hosted by a host system and computes, based on the interaction data, interface experience metrics. The interface experience metrics includes an individual experience metric for each user and a transition experience metric for each transition in the interactions by the users with the online platform. The environment evaluation system identifies a user with the individual experience metric below a pre-determined threshold, identifies a transition performed by the user that has a transition experience metric below a second threshold, and analyzes the transition to determine users who have performed the transition. The environment evaluation system updates the host system with the individual experience metrics and the transition metrics, based on which the host system can perform modifications of interface elements of the online platform to improve the experience.

公开(公告)号：US20240281836A1

公开(公告)日：2024-08-22

申请号：US18110620

申请日：2023-02-16

Applicant: Adobe Inc.

Inventor： Ritwik Sinha ,  Ziao Liu ,  Robert Sebastian Mares ,  Oana Catalina Persoiu-Focsa ,  Moumita Sinha ,  Ivan Andrus ,  David Arbour ,  Akash Maharaj ,  Prithvi Bhutani

IPC: G06Q30/0203 ,  G06F17/18

CPC classification number: G06Q30/0203 ,  G06F17/18

Abstract: Certain aspects and features of this disclosure relate to providing anytime-valid confidence sequences for multiple messaging treatments in an experiment. A process controls and/or corrects statistical error when multiple messaging treatments are being evaluated together. Messages can be stored, formatted, and transmitted from a communication server or other computing system. In one example, each test message from among multiple test messages is sent to an independent group of recipients over some period of time. An analytics application programmatically evaluates a metric related to message responses over time and determines a difference in the metric for each of several unique messages as compared to a baseline message. The analytics application also determines a confidence value and can display the changing confidence value in sequence over time along with the current difference, or lift, while maintaining the accuracy of the values.

公开(公告)号：US20220148013A1

公开(公告)日：2022-05-12

申请号：US17091569

申请日：2020-11-06

Applicant: ADOBE INC.

Inventor： RITWIK SINHA ,  Fan Du ,  Sunav Choudhary ,  Sanket Mehta ,  Harvineet Singh ,  Said Kobeissi ,  William Brandon George ,  Chris Challis ,  Prithvi Bhutani ,  John Bates ,  Ivan Andrus

IPC: G06Q30/02 ,  G06F16/904 ,  G06F17/18

Abstract: Determination of high value customer journey sequences is performed by determining customer interactions that are most frequent as length N=1 sub-sequences, recursively determining most frequent length N+1 sub-sequences that start with the length N sub-sequences, determining a first count indicating how often one of the sub-sequences appears in the sequences, determining a second count indicating how often the one sub-sequence resulted in the goal, and using the counts to determine the most or least effective sub-sequences for achieving the goal.

公开(公告)号：US20240135296A1

公开(公告)日：2024-04-25

申请号：US17969643

申请日：2022-10-18

Applicant: Adobe Inc.

Inventor： Atanu R. Sinha ,  Shiv Kumar Saini ,  Prithvi Bhutani ,  Nikhil Sheoran ,  Kevin Cobourn ,  Jeff D. Chasin ,  Fan Du ,  Eric Matisoff

IPC: G06Q10/0639 ,  G06F3/0484

CPC classification number: G06Q10/06393 ,  G06F3/0484

Abstract: In some examples, an environment evaluation system accesses interaction data recording interactions by users with an online platform hosted by a host system and computes, based on the interaction data, interface experience metrics. The interface experience metrics includes an individual experience metric for each user and a transition experience metric for each transition in the interactions by the users with the online platform. The environment evaluation system identifies a user with the individual experience metric below a pre-determined threshold, identifies a transition performed by the user that has a transition experience metric below a second threshold, and analyzes the transition to determine users who have performed the transition. The environment evaluation system updates the host system with the individual experience metrics and the transition metrics, based on which the host system can perform modifications of interface elements of the online platform to improve the experience.

公开(公告)号：US11756058B2

公开(公告)日：2023-09-12

申请号：US17091569

申请日：2020-11-06

Applicant: ADOBE INC.

Inventor： Ritwik Sinha ,  Fan Du ,  Sunav Choudhary ,  Sanket Mehta ,  Harvineet Singh ,  Said Kobeissi ,  William Brandon George ,  Chris Challis ,  Prithvi Bhutani ,  John Bates ,  Ivan Andrus

IPC: G06Q30/00 ,  G06Q30/0201 ,  G06F17/18 ,  G06F16/904

CPC classification number: G06Q30/0201 ,  G06F16/904 ,  G06F17/18

Abstract: Determination of high value customer journey sequences is performed by determining customer interactions that are most frequent as length N=1 sub-sequences, recursively determining most frequent length N+1 sub-sequences that start with the length N sub-sequences, determining a first count indicating how often one of the sub-sequences appears in the sequences, determining a second count indicating how often the one sub-sequence resulted in the goal, and using the counts to determine the most or least effective sub-sequences for achieving the goal.

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.