公开(公告)号：US12020195B2

公开(公告)日：2024-06-25

申请号：US17474188

申请日：2021-09-14

Applicant: Adobe Inc.

Inventor： Sana Malik Lee ,  Zhuohao Zhang ,  Zhicheng Liu ,  Tak Yeon Lee ,  Shunan Guo ,  Ryan A. Rossi ,  Fan Du ,  Eunyee Koh

IPC: G06T11/60 ,  G06N20/00 ,  G06Q10/0639 ,  G06T11/20

CPC classification number: G06Q10/0639 ,  G06N20/00 ,  G06T11/206 ,  G06T11/60

Abstract: In implementations of systems for generating interactive reports, a computing device implements a report system to receive input data describing a dataset and an analytics report for the dataset that depicts a result of performing analytics on the dataset. The report system generates a declarative specification that describes the analytics report in a language that encodes data as properties of graphic objects. Editing data is received describing a user input specifying a modification to the analytics report. The report system modifies the declarative specification using the language that encodes data as properties of graphic objects based on the user input and the dataset. An interactive report is generated based on the modified declarative specification that includes the analytics report having the modification.

公开(公告)号：US11995547B2

公开(公告)日：2024-05-28

申请号：US17823390

申请日：2022-08-30

Applicant: Adobe Inc.

Inventor： Fan Du ,  Sungchul Kim ,  Shunan Guo ,  Sana Lee ,  Eunyee Koh

IPC: G06N3/08 ,  G06N3/04 ,  G06N3/045 ,  G06N5/02 ,  G06N7/01 ,  G06N20/10

CPC classification number: G06N3/08 ,  G06N3/045 ,  G06N5/02 ,  G06N7/01 ,  G06N20/10

Abstract: Disclosed systems and methods predict and visualize outcomes based on past events. For example, an analysis application encodes a sequence of events into a feature vector that includes, for each event, a numerical representation of a respective category and a respective timestamp. The application applies a time-aware recurrent neural network to the feature vector, resulting in one or more of (i) a set of future events in which each event is associated with a probability and a predicted duration and (ii) a sequence embedding that contains information about predicted outcomes and temporal patterns observed in the sequence of events. The application applies a support vector model classifier to the sequence embedding. The support vector model classifier computes a likelihood of a categorical outcome for each of the events in the probability distribution. The application modifies interactive content according to the categorical outcomes and probability distribution.

公开(公告)号：US11946753B2

公开(公告)日：2024-04-02

申请号：US17364480

申请日：2021-06-30

Applicant: Adobe Inc.

Inventor： Fan Du ,  Sana Malik Lee ,  Georgios Theocharous ,  Eunyee Koh

IPC: H04W4/024 ,  G01C21/34 ,  G06Q10/047 ,  H04W4/021

CPC classification number: G01C21/343 ,  G01C21/3476 ,  G01C21/3484 ,  G06Q10/047 ,  H04W4/021 ,  H04W4/024

Abstract: The present disclosure relates to generating and modifying recommended event sequences utilizing a dynamic user preference interface. For example, in one or more embodiments, the system generates a recommended event sequence using a recommendation model trained based on a plurality of historical event sequences. The system then provides, for display via a client device, the recommendation, a plurality of interactive elements for entry of user preferences, and a visual representation of historical event sequences. Upon detecting input of user preferences, the system can modify a reward function of the recommendation model and provide a modified recommended event sequence together with the plurality of interactive elements. In one or more embodiments, as a user enters user preferences, the system additionally modifies the visual representation to display subsets of the plurality of historical event sequences corresponding to the preferences.

公开(公告)号：US11775756B2

公开(公告)日：2023-10-03

申请号：US17094435

申请日：2020-11-10

Applicant: Adobe Inc.

Inventor： Eunyee Koh ,  Xin Qian ,  Tak Yeon Lee ,  Sana Malik Lee ,  Ryan Anthony Rossi ,  Fan Du ,  Duy-Trung Trong Dinh

IPC: G06F40/216 ,  G06F40/58 ,  G06F40/169 ,  G06F40/56 ,  G06F40/295

CPC classification number: G06F40/216 ,  G06F40/169 ,  G06F40/295 ,  G06F40/56 ,  G06F40/58

Abstract: A dataset captioning system is described that generates captions of text to describe insights identified from a dataset, automatically and without user intervention. To do so, given an input of a dataset the dataset captioning system determines which data insights are likely to support potential visualizations of the dataset, generates text based on these insights, orders the text, processes the ordered text for readability, and then outputs the text as a caption. These techniques also include adjustments made to the complexity of the text, globalization of the text, inclusion of links to outside sources of information, translation of the text, and so on as part of generating the caption.

公开(公告)号：US20230130778A1

公开(公告)日：2023-04-27

申请号：US18069561

申请日：2022-12-21

Applicant: Adobe Inc.

Inventor： Shenyu Xu ,  Eunyee Koh ,  Fan Du ,  Tak Yeon Lee ,  Sana Malik Lee ,  Ryan Rossi

IPC: G06F16/738 ,  G06F16/901 ,  G06F16/783 ,  G06F16/34 ,  G06F16/9032 ,  G06F16/44

Abstract: This disclosure describes one or more embodiments of systems, non-transitory computer-readable media, and methods that intelligently and automatically analyze input data and generate visual data stories depicting graphical visualizations from data insights determined from the input data. For example, the disclosed systems automatically extract data insights utilizing an in-depth statistical analysis of dataset groups from data-attribute categories within the input data. Based on the data insights, the disclosed systems can automatically generate exportable visual data stories to visualize the data insights, provide textual or audio-based natural language summaries of the data insights, and animate such data insights in videos. In some embodiments, the disclosed systems generate a visual-data-story graph comprising nodes representing visual data stories and edges representing similarities between the visual data stories. Based on the visual-data-story graph, the disclosed systems can select a relevant visual data story to display on a graphical user interface.

公开(公告)号：US11630854B2

公开(公告)日：2023-04-18

申请号：US17660328

申请日：2022-04-22

Applicant: Adobe Inc.

Inventor： Fan Du ,  Yeuk-Yin Chan ,  Eunyee Koh ,  Ryan Rossi ,  Margarita Savova ,  Charles Menguy ,  Anup Rao

IPC: G06F16/00 ,  G06F16/28 ,  G06F16/22 ,  G06F16/14 ,  G06F16/84 ,  G06F16/2458 ,  G06F16/909

Abstract: The present disclosure describes systems, non-transitory computer-readable media, and methods for utilizing hash partitions to determine local densities and distances among users (or among other represented data points) for clustering sparse data into segments. For instance, the disclosed systems can generate hash signatures for users in a sparse dataset and can map users to hash partitions based on the hash signatures. The disclosed systems can further determine local densities and separation distances for particular users (or other represented data points) within the hash partitions. Upon determining local densities and separation distances for datapoints from the dataset, the disclosed systems can select a segment (or cluster of data points) grouped according to a hierarchy of a clustering algorithm, such as a density-peaks-clustering algorithm.

公开(公告)号：US20230077829A1

公开(公告)日：2023-03-16

申请号：US17474188

申请日：2021-09-14

Applicant: Adobe Inc.

Inventor： Sana Malik Lee ,  Zhuohao Zhang ,  Zhicheng Liu ,  Tak Yeon Lee ,  Shunan Guo ,  Ryan A. Rossi ,  Fan Du ,  Eunyee Koh

IPC: G06Q10/06 ,  G06N20/00 ,  G06T11/20 ,  G06T11/60

Abstract: In implementations of systems for generating interactive reports, a computing device implements a report system to receive input data describing a dataset and an analytics report for the dataset that depicts a result of performing analytics on the dataset. The report system generates a declarative specification that describes the analytics report in a language that encodes data as properties of graphic objects. Editing data is received describing a user input specifying a modification to the analytics report. The report system modifies the declarative specification using the language that encodes data as properties of graphic objects based on the user input and the dataset. An interactive report is generated based on the modified declarative specification that includes the analytics report having the modification.

公开(公告)号：US20230030341A1

公开(公告)日：2023-02-02

申请号：US17383114

申请日：2021-07-22

Applicant: Adobe Inc.

Inventor： Eunyee Koh ,  Tak Yeon Lee ,  Andrew Thomson ,  Vasanthi Holtcamp ,  Ryan Rossi ,  Fan Du ,  Caroline Kim ,  Tong Yu ,  Shunan Guo ,  Nedim Lipka ,  Shriram Venkatesh Shet Revankar ,  Nikhil Belsare

IPC: G06N3/08 ,  H04L12/26 ,  G06F40/186 ,  G06N3/04

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods that utilize a dynamic user interface and machine learning tools to generate data-driven digital content and multivariate testing recommendations for distributing digital content across computer networks. In particular, in one or more embodiments, the disclosed systems utilize machine learning models to generate digital recommendations at multiple development stages of digital communications that are targeted on particular performance metrics. For example, the disclosed systems utilize historical information and recipient profile data to generate recommendations for digital communication templates, fragment variants of content fragments, and content variants of digital content items. Ultimately, the disclosed systems generate multivariate testing recommendations incorporating selected fragment variants to intelligently narrow multivariate testing candidates and generate more meaningful and statistically significant multivariate testing results.

公开(公告)号：US20220405314A1

公开(公告)日：2022-12-22

申请号：US17354954

申请日：2021-06-22

Applicant: ADOBE INC.

Inventor： Fan Du ,  Zening Qu ,  Vasanthi Swaminathan Holtcamp ,  Tak Yeon Lee ,  Sungchul Kim ,  Saurabh Mahapatra ,  Sana Malik Lee ,  Ryan A. Rossi ,  Nikhil Belsare ,  Eunyee Koh ,  Andrew Thomson ,  Sumit Shekhar

IPC: G06F16/33 ,  G06F16/338 ,  G06N5/04

Abstract: Methods, computer systems, computer-storage media, and graphical user interfaces are provided for facilitating data visualization generation. In one implementation, dataset intent data, visual design intent data, and insight intent data determined from a user input natural language query are obtained. A set of candidate intent recommendations is generated using various combinations of the dataset intent data, visual design intent data, and insight intent data. Each of the candidate intent recommendations is incorporated into a set of visualization templates to determine eligibility of the candidate intent recommendations. For eligible candidate intent recommendations, a score associated with a corresponding visualization template is determined. Based on the scores, a candidate intent recommendation and corresponding visualizations template is selected to use as a visual recommendation for presenting a data visualization.

公开(公告)号：US11461801B2

公开(公告)日：2022-10-04

申请号：US15910926

申请日：2018-03-02

Applicant: Adobe Inc.

Inventor： Tak Yeon Lee ,  Eunyee Koh

IPC: G06Q30/02 ,  G06F40/30 ,  G06Q30/06

Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for determining and resolving semantic misalignments between digital messages containing links and corresponding external digital content. For example, in one or more embodiments, the disclosed systems compare semantic message features from the digital message with semantic external digital content features from the external digital content. More specifically, in at least one embodiment, the disclosed systems compare semantic message feature vectors and semantic external digital content feature vectors to determine a relevance score for the digital message and identify semantic misalignments. Additionally, in one or more embodiments, the disclosed systems provide for display a user interface that presents a plurality of digital messages, the linked external digital content, and identified semantic misalignments.