公开(公告)号：US20210281650A1

公开(公告)日：2021-09-09

申请号：US16813183

申请日：2020-03-09

Applicant: Adobe Inc.

Inventor： William Brandon George ,  Trevor Paulsen ,  Joshua Butikofer ,  Alexandra Strawn

IPC: H04L29/08 ,  G06N20/00

Abstract: This disclosure involves performing event analytics on-the-fly based on user input to an analysis interface. An event analytics system correlates a plurality of event datasets to include a common visitor identifier. The system causes display, via the analysis interface, of information about the plurality of event datasets. The system receives, via the analysis interface, user selection of one or more event datasets, of the plurality of event datasets. Based on the selected one or more event datasets, the system generates a combined event dataset. The event analytics system receives, via the analysis interface, user input specifying information requested about the combined event dataset. The system obtains the requested information about the combined event dataset. The system causes display, via the analysis interface, of a visualization of the obtained information, wherein the visualization is based on event data from the combined event dataset in chronological order.

公开(公告)号：US11080732B2

公开(公告)日：2021-08-03

申请号：US15180582

申请日：2016-06-13

Applicant: ADOBE INC.

Inventor： Trevor Paulsen ,  Craig Mathis ,  Nikolaos Vlassis ,  Branislav Kveton ,  Kristopher Paries ,  Ivan Andrus ,  Hung Bui ,  Michael Rimer

IPC: G06Q30/02 ,  G06F3/0484

Abstract: Systems and methods are disclosed herein for providing a user interface representing differences between segments of end users. The systems and methods receive user input on a user interface identifying a first segment, the first segment being a subset of the end users having a particular characteristic, determine differences between the first segment and a second segment, and represent, on the user interface, the differences between the first segment and the second segment based on relative significances of the differences. The marketer using the user interface is able to quickly and easily identify the metrics, dimensions, and/or relationships to other segments that most distinguish the compared segments from one another.

公开(公告)号：US10970338B2

公开(公告)日：2021-04-06

申请号：US16189739

申请日：2018-11-13

Applicant: Adobe Inc.

Inventor： Trevor Paulsen ,  Ivan Andrus ,  Vladislav Turchenko ,  Dirk DeHart ,  David Wilcox ,  Brian Jarvis

IPC: G06F16/9038 ,  G06F16/242

Abstract: The present disclosure relates to performing attribution channel modeling in real time using touchpoint data that corresponds to a user-specified set of channels and is retrieved from a database using a user-specified attribution model. For example, in one or more embodiments, a system stores raw data in an attribution database that comprises an aggregator and a plurality of nodes. In particular, each node stores touchpoint data associated with a different user. Upon receiving a query, the system can, in real time, retrieve subsets of the touchpoint data that corresponds to a user-defined set of distribution channels in accordance with a user-specified attribution model. The system then combines the subsets of touchpoint data using the aggregator and generates the digital attribution report using the combined data.

公开(公告)号：US20220398230A1

公开(公告)日：2022-12-15

申请号：US17347133

申请日：2021-06-14

Applicant: Adobe Inc.

Inventor： Ritwik Sinha ,  Saayan Mitra ,  Handong Zhao ,  Somdeb Sarkhel ,  Trevor Paulsen ,  William Brandon George

IPC: G06F16/215 ,  G06F16/242 ,  G06N5/04 ,  G06N20/00

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating automatic suggestions to effectively modify the organization of an ingested data collection without destruction of the underlying raw data. In particular, in one or more embodiments, the disclosed systems utilize multiple machine learning models in sequence to determine likelihoods that the organizational structure of an ingested data collection should be modified in various ways. In response to generating these likelihoods, the disclosed systems generate corresponding automatic suggestions to modify the organization of the ingested data collection. In response to a detected selection of one or more of the automatic suggestions, the disclosed systems read data out of the ingested data collection in accordance with the selected automatic suggestions to effectively modify the organization of the ingested data collection.

公开(公告)号：US11347809B2

公开(公告)日：2022-05-31

申请号：US16189784

申请日：2018-11-13

Applicant: Adobe Inc.

Inventor： Trevor Paulsen ,  Ivan Andrus ,  Nathan Purser

IPC: G06F16/9038 ,  G06Q30/02 ,  G06F16/35 ,  G06F16/335

Abstract: The present disclosure relates to performing attribution modeling in real time using touchpoint data that correspond to arbitrary analytics parameters (e.g., a user-specified dimension) and are retrieved from a database using an attribution model. For example, in one or more embodiments, a system stores raw data in an analytics database that comprises an aggregator and a plurality of nodes. In particular, each node stores touchpoint data associated with a different user. Upon receiving a query, the system can, in real time, retrieve subsets of the touchpoint data that correspond to a user-specified dimension in accordance with an attribution model. The system then combines the subsets of touchpoint data using the aggregator and generates the digital attribution report using the combined data.

公开(公告)号：US11347781B2

公开(公告)日：2022-05-31

申请号：US16167143

申请日：2018-10-22

Applicant: Adobe Inc.

Inventor： William Brandon George ,  Trevor Paulsen ,  Jordan Walker

IPC: G06F16/33 ,  G06F16/332 ,  G06F17/18 ,  G06Q30/02 ,  G06N20/00 ,  G06F16/901

Abstract: This disclosure relates to methods, non-transitory computer readable media, and systems that provide an attribution user interface that integrates attribution models as native components within the interface to configure analytics visualizations. By integrating attribution models and corresponding functions as native components of a user interface, the disclosed methods, non-transitory computer readable media, and systems can implement attribution models as parameters of attribution distributions or of any attribution visualizations, where the attribution models function as event categories. For instance, the disclosed methods, non-transitory computer readable media, and systems can provide analytics tools to generate visualizations of different attribution distributions of events across dimension values (or other visualizations) based on different attribution models. In some implementations, the disclosed methods, non-transitory computer readable media, and systems can also modify an attribution-distribution visualization extemporaneously given user inputs for a new event category, new dimension, new segment, or other parameter for the visualization.

公开(公告)号：US10902443B2

公开(公告)日：2021-01-26

申请号：US15296999

申请日：2016-10-18

Applicant: ADOBE INC.

Inventor： Ritwik Sinha ,  Shiv Kumar Saini ,  Trevor Paulsen ,  Mike Rimer

IPC: G06Q30/02 ,  G06F7/58

Abstract: Techniques are disclosed for identifying, assessing, and presenting differences between segments of customers. The techniques identify differences in categorical features of the customers in two segments. The techniques use observed data to identify differences in a categorical feature. The techniques then assess whether the observed difference is a real difference applicable to the entire customer population or the result of random chance. The categorical features with the most significant differences (i.e., unlikely due to random chance) are presented, for example, to allow a marketer to easily appreciate the most significant segment differences. Certain techniques account for segment overlap (i.e., customers being in both segments) in assessing whether differences are due to random chance. Certain techniques limit the presented categorical features to account for common knowledge and/or false testing issues. Certain techniques present segment differences incrementally during the computations to provide quicker access to relevant information.

公开(公告)号：US10528533B2

公开(公告)日：2020-01-07

申请号：US15428523

申请日：2017-02-09

Applicant: Adobe Inc.

Inventor： Shiv Kumar Saini ,  Trevor Paulsen ,  Moumita Sinha ,  Gaurush Hiranandani

IPC: G06F16/00 ,  G06F16/215

Abstract: Techniques are disclosed for identifying anomalies in small data sets, by identifying anomalies using a Generalized Extreme Student Deviate test (GESD test). In an embodiment, a data set, such as business data or a website metric, is checked for skewness and, if found to be skewed, is transformed to a normal distribution (e.g., by applying a Box-Cox transformation). The data set is checked for presence of trends and, if a trend is found, has the trend removed (e.g., by running a linear regression). In one embodiment, a maximum number of anomalies is estimated for the data set, by applying an adjusted box plot to the data set. The data set and the estimated number of anomalies is run through a GESD test, and the test identifies anomalous data points in the data set, based on the provided estimated number of anomalies. In an embodiment, a confidence interval is generated for the identified anomalies.

公开(公告)号：US12235831B2

公开(公告)日：2025-02-25

申请号：US18085479

申请日：2022-12-20

Applicant: Adobe Inc.

Inventor： Trevor Paulsen ,  Joshua Butikofer ,  Ankita Mahajan ,  Adrian Tanase

IPC: G06F16/23 ,  G06F7/08

Abstract: This disclosure involves stitching event data using identity mappings. An event analytics system generates and stores an event dataset including first event data for a first set of events associated with a user. The first event data includes timestamps and a device identifier. The system identifies second event data for a second event associated with the user. The second event data includes a timestamp, the device identifier, and a user identifier. The system appends the second event data to the event dataset. Based on the second event data, the system generates and stores an identity mapping that maps the device identifier to the user identifier. Based on the identity mapping and a predetermined look-back window, the system updates the first event data to include the user identifier.

公开(公告)号：US20230153179A1

公开(公告)日：2023-05-18

申请号：US18157019

申请日：2023-01-19

Applicant: Adobe Inc.

Inventor： Trevor Paulsen ,  Joshua Butikofer ,  Adrian Tanase

IPC: G06F9/54 ,  G06F16/23

CPC classification number: G06F9/542 ,  G06F16/2365

Abstract: This disclosure involves using data science notebooks to customize and apply a visitor stitching framework. An event management system provides an initial visitor stitching framework via a data science notebook, wherein the data science notebook is an interactive environment for managing algorithms and data. The event management system receives, from a resource provider system via the data science notebook, a modification to the initial visitor stitching framework. The event management system applies the modification to the initial visitor stitching framework to generate a custom visitor stitching framework. The event management system processes a dataset associated with the resource provider system and a user using the custom visitor stitching framework to generate a stitched dataset associated with the user.