Patents by Inventor Eunyee Koh
Eunyee Koh has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11960517Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods that generate a dynamic cross-platform ask interface and utilize a cross-platform language processing model to provide platform-specific, contextually based responses to natural language digital text queries. In particular, in one or more embodiments, the disclosed systems utilize machine learning models to extract registered intents from digital text queries to identify platform-specific configurations associated with the registered intents. Utilizing the platform-specific configurations, the disclosed systems can generate tailored platform-specific requests for information, as well as customized end-user search results that cause client devices to efficiently, accurately, and flexibly render platform-specific search results.Type: GrantFiled: July 22, 2021Date of Patent: April 16, 2024Assignee: Adobe Inc.Inventors: Piyush Gupta, Binit Kumar Sinha, Eunyee Koh, Fan Du, Gaurav Makkar, Silky Kedawat, Subrahmanya Kumar Giliyaru, Vasanthi Holtcamp, Nikhil Belsare
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Patent number: 11946753Abstract: 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.Type: GrantFiled: June 30, 2021Date of Patent: April 2, 2024Assignee: Adobe Inc.Inventors: Fan Du, Sana Malik Lee, Georgios Theocharous, Eunyee Koh
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Publication number: 20240095440Abstract: Methods, computer systems, computer-storage media, and graphical user interfaces are provided for facilitating generation and presentation of insights. In one implementation, a set of data is used to generate a data visualization. A candidate insight associated with the data visualization is generated, the candidate insight being generated in text form based on a text template and comprising a descriptive insight, a predictive insight, an investigative, or a prescriptive insight. A set of natural language insights is generated, via a machine learning model. The natural language insights represent the candidate insight in a text style that is different from the text template. A natural language insight having the text style corresponding with a desired text style is selected for presenting the candidate insight and, thereafter, the selected natural language insight and data visualization are providing for display via a graphical user interface.Type: ApplicationFiled: October 11, 2023Publication date: March 21, 2024Inventors: Md Main Uddin RONY, Fan DU, Iftikhar Ahamath BURHANUDDIN, Ryan ROSSI, Niyati Himanshu CHHAYA, Eunyee KOH
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Patent number: 11922691Abstract: In implementations of augmented reality systems for comparing physical objects, a computing device implements a comparison system to detect physical objects and physical markers depicted in frames of a digital video captured using an image capture device and displayed in a user interface. The comparison system associates a physical object of the physical objects with a physical marker of the physical markers based on an association distance estimated using two-dimensional coordinates of the user interface corresponding to a center of the physical object and a distance from the image capture device to the physical marker. Characteristics of the physical object are determined that are not displayed in the user interface based on an identifier of the physical marker. The comparison system generates a virtual object for display in the user interface that includes indications of a subset of the characteristics of the physical object.Type: GrantFiled: April 20, 2022Date of Patent: March 5, 2024Assignee: Adobe Inc.Inventors: Shunan Guo, Ryan A. Rossi, Jane Elizabeth Hoffswell, Fan Du, Eunyee Koh, Bingjie Xu
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Patent number: 11860675Abstract: Embodiments of the present invention provide systems, methods, and computer storage media for latent summarization of a graph. Structural features can be captured from feature vectors associated with each node of the graph by applying base functions on the feature vectors and iteratively applying relational operators to successive feature matrices to derive deeper inductive relational functions that capture higher-order structural information in different subgraphs of increasing size (node separations). Heterogeneity can be summarized by performing capturing features in appropriate subgraphs (e.g., node-centric neighborhoods associated with each node type, edge direction, and/or edge type). Binning and/or dimensionality reduction can be applied to the resulting feature matrices.Type: GrantFiled: July 12, 2021Date of Patent: January 2, 2024Assignee: ADOBE INC.Inventors: Di Jin, Ryan A. Rossi, Eunyee Koh, Sungchul Kim, Anup Rao
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Publication number: 20230419115Abstract: In implementations of systems for generating node embeddings for multiple roles, a computing device implements an embeddings system to cluster nodes of a graph into clusters. An initial role membership vector is computed for each of the nodes based on the clusters. The embeddings system generates a first set of role embeddings for a particular node of the nodes based on the initial role membership vector for the particular node and nodes connected to the particular node in the graph. The embeddings system determines an indication of at least one of a node classification or a link prediction for the graph based on the first set of role embeddings and a second set of role embeddings for an additional node of the nodes.Type: ApplicationFiled: June 22, 2022Publication date: December 28, 2023Applicant: Adobe Inc.Inventors: Ryan A. Rossi, Iftikhar Ahamath Burhanuddin, Gautam Choudhary, Fan Du, Eunyee Koh
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Publication number: 20230418881Abstract: Systems and methods for document generation are provided. One aspect of the systems and methods includes identifying, by a style extractor, a document fragment comprising a first style element of a first style category; computing, by a style generator, a reward function based on a correlation value between the first style element and a second style element of a second style category different from the first style category, wherein the correlation value is based on correlations between style elements in a plurality of historical document fragments; selecting, by the style generator, the second style element based on the reward function; and generating, by a document generator, a modified document fragment that includes the first style element of the first style category and the second style element of the second style category.Type: ApplicationFiled: June 28, 2022Publication date: December 28, 2023Inventors: Shunan Guo, Yeuk-Yin Chan, Eunyee Koh, Caroline Jiwon Kim, Cole Edward Connelly, Andrew Douglas Thomson
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Patent number: 11836172Abstract: 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.Type: GrantFiled: June 22, 2021Date of Patent: December 5, 2023Assignee: Adobe Inc.Inventors: 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
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Publication number: 20230386143Abstract: A system and methods for providing human-invisible AR markers is described. One aspect of the system and methods includes identifying AR metadata associated with an object in an image; generating AR marker image data based on the AR metadata; generating a first variant of the image by adding the AR marker image data to the image; generating a second variant of the image by subtracting the AR marker image data from the image; and displaying the first variant and the second variant of the image alternately at a display frequency to produce a display of the image, wherein the AR marker image data is invisible to a human vision system in the display of the image.Type: ApplicationFiled: May 25, 2022Publication date: November 30, 2023Inventors: Chang Xiao, Ryan A. Rossi, Eunyee Koh
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Patent number: 11829705Abstract: Methods, computer systems, computer-storage media, and graphical user interfaces are provided for facilitating generation and presentation of insights. In one implementation, a set of data is used to generate a data visualization. A candidate insight associated with the data visualization is generated, the candidate insight being generated in text form based on a text template and comprising a descriptive insight, a predictive insight, an investigative, or a prescriptive insight. A set of natural language insights is generated, via a machine learning model. The natural language insights represent the candidate insight in a text style that is different from the text template. A natural language insight having the text style corresponding with a desired text style is selected for presenting the candidate insight and, thereafter, the selected natural language insight and data visualization are providing for display via a graphical user interface.Type: GrantFiled: September 21, 2022Date of Patent: November 28, 2023Assignee: Adobe Inc.Inventors: Md Main Uddin Rony, Fan Du, Iftikhar Ahamath Burhanuddin, Ryan Rossi, Niyati Himanshu Chhaya, Eunyee Koh
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Publication number: 20230350968Abstract: Methods, systems, and non-transitory computer readable media are disclosed for utilizing machine learning models to extract digital signals from low-results web queries and generate item demand deficiency predictions for digital item lists corresponding to websites. In one or more embodiments, the disclosed systems identify a low-results query submitted by client devices navigating a website. The disclosed systems generate features for the low-results query and the digital item list to generate a deficiency prediction relative to demand indicated by the low-results query. In some embodiments, the disclosed system utilizes a deficiency prediction model to process the extracted signals and generate a deficiency confidence score corresponding to the low-results query. Based on the deficiency confidence score, the disclosed system can generate and provide demand notifications via one or more graphical user interfaces.Type: ApplicationFiled: May 2, 2022Publication date: November 2, 2023Inventors: Irgelkha Mejia, Michele Saad, Eunyee Koh, Andrew Thomson, Lauren Dest, Dustin Ground, Anna Hammond, Arjun Athreya, Catherine Chiodo
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Publication number: 20230343091Abstract: In implementations of augmented reality systems for comparing physical objects, a computing device implements a comparison system to detect physical objects and physical markers depicted in frames of a digital video captured using an image capture device and displayed in a user interface. The comparison system associates a physical object of the physical objects with a physical marker of the physical markers based on an association distance estimated using two-dimensional coordinates of the user interface corresponding to a center of the physical object and a distance from the image capture device to the physical marker. Characteristics of the physical object are determined that are not displayed in the user interface based on an identifier of the physical marker. The comparison system generates a virtual object for display in the user interface that includes indications of a subset of the characteristics of the physical object.Type: ApplicationFiled: April 20, 2022Publication date: October 26, 2023Applicant: Adobe Inc.Inventors: Shunan Guo, Ryan A. Rossi, Jane Elizabeth Hoffswell, Fan Du, Eunyee Koh, Bingjie Xu
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Patent number: 11782576Abstract: In some embodiments, a data visualization system detects insights from a dataset and computes insight scores for respective insights. The data visualization system further computes insight type scores, from the insight scores, for insight types in the detected insights. The data visualization system determines a selected insight type for the dataset having a higher insight type score than unselected insight types and determines, for the selected insight type, a set of selected insights that have higher insight scores than unselected insights. The data visualization system determines insight visualizations for the set of selected insights and generates, for inclusion in a user interface of the data visualization system, selectable interface elements configured for invoking an editing tool for updating the determined insight visualizations from the dataset. The selectable interface elements are arranged in the user interface according to the insight scores of the set of selected insights.Type: GrantFiled: January 29, 2021Date of Patent: October 10, 2023Assignee: Adobe Inc.Inventors: Camille Harris, Zening Qu, Sana Lee, Ryan Rossi, Fan Du, Eunyee Koh, Tak Yeon Lee, Sungchul Kim, Handong Zhao, Sumit Shekhar
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Patent number: 11775756Abstract: 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.Type: GrantFiled: November 10, 2020Date of Patent: October 3, 2023Assignee: Adobe Inc.Inventors: Eunyee Koh, Xin Qian, Tak Yeon Lee, Sana Malik Lee, Ryan Anthony Rossi, Fan Du, Duy-Trung Trong Dinh
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Patent number: 11775582Abstract: 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.Type: GrantFiled: December 21, 2022Date of Patent: October 3, 2023Assignee: Adobe Inc.Inventors: Shenyu Xu, Eunyee Koh, Fan Du, Tak Yeon Lee, Sana Malik Lee, Ryan Rossi
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Publication number: 20230306194Abstract: Systems and methods for data processing are described. Example embodiments include identifying chart data corresponding to a visual element of a user interface; selecting an insight type based on a chart category of the chart data; generating insight data for the insight type based on the chart data using a statistical measure corresponding to the insight type; generating an insight caption for the insight type by combining the insight data with a sentence template corresponding to the insight type; and communicating the insight caption to a user of the user interface.Type: ApplicationFiled: March 24, 2022Publication date: September 28, 2023Inventors: Fan Du, Cameron Elise Womack, Dylan Robert Kario, Molly Josette Bloom, Elizabeth Waters, Matthew Samuel Deutsch, Ryan Wilkes, Yeuk-Yin Chan, Eunyee Koh, Andrew Douglas Thomson, Cole Edward Connelly, Saurabh Mahapatra, Vasanthi Holtcamp
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Publication number: 20230306033Abstract: Embodiments provide systems, methods, and computer storage media for management, assessment, navigation, and/or discovery of data based on data quality, consumption, and/or utility metrics. Data may be assessed using attribute-level and/or record-level metrics that quantify data: “quality” - the condition of data (e.g., presence of incorrect or incomplete values), its “consumption” - the tracked usage of data in downstream applications (e.g., utilization of attributes in dashboard widgets or customer segmentation rules), and/or its “utility” - a quantifiable impact resulting from the consumption of data (e.g., revenue or number of visits resulting from marketing campaigns that use particular datasets, storage costs of data). This data assessment may be performed at different stages of a data intake, preparation, and/or modeling lifecycle.Type: ApplicationFiled: March 14, 2022Publication date: September 28, 2023Inventors: Arpit Ajay Narechania, Fan Du, Atanu R. Sinha, Ryan A. Rossi, Jane Elizabeth Hoffswell, Shunan Guo, Eunyee Koh, John Anderson, Sonali Surange, Saurabh Mahapatra, Vasanthi Holtcamp
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Publication number: 20230297625Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media that utilize a graph neural network to generate data recommendations. The disclosed systems generate a digital graph representation comprising user nodes corresponding to users, data attribute nodes corresponding to data attributes, and edges reflecting historical interactions between the users and the data attributes; Moreover, the disclosed systems generate, utilizing a graph neural network, user embeddings for the user nodes and data attribute embeddings for the data attribute nodes from the digital graph representation. In addition, the disclosed systems generate, utilizing a graph neural network, user embeddings for the user nodes and data attribute embeddings for the data attribute nodes from the digital graph representation.Type: ApplicationFiled: March 15, 2022Publication date: September 21, 2023Inventors: Fayokemi Ojo, Ryan Rossi, Jane Hoffswell, Shunan Guo, Fan Du, Sungchul Kim, Chang Xiao, Eunyee Koh
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Publication number: 20230289696Abstract: Embodiments provide systems, methods, and computer storage media for management, assessment, navigation, and/or discovery of data based on data quality, consumption, and/or utility metrics. Data may be assessed using attribute-level and/or record-level metrics that quantify data: “quality”—the condition of data (e.g., presence of incorrect or incomplete values), its “consumption”—the tracked usage of data in downstream applications (e.g., utilization of attributes in dashboard widgets or customer segmentation rules), and/or its “utility”—a quantifiable impact resulting from the consumption of data (e.g., revenue or number of visits resulting from marketing campaigns that use particular datasets, storage costs of data). This data assessment may be performed at different stages of a data intake, preparation, and/or modeling lifecycle.Type: ApplicationFiled: March 14, 2022Publication date: September 14, 2023Inventors: Arpit Ajay Narechania, Fan Du, Atanu R. Sinha, Ryan A. Rossi, Jane Elizabeth Hoffswell, Shunan Guo, Eunyee Koh, John Anderson, Sonali Surange, Saurabh Mahapatra, Vasanthi Holtcamp
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Publication number: 20230289839Abstract: Embodiments provide systems, methods, and computer storage media for management, assessment, navigation, and/or discovery of data based on data quality, consumption, and/or utility metrics. Data may be assessed using attribute-level and/or record-level metrics that quantify data: “quality”—the condition of data (e.g., presence of incorrect or incomplete values), its “consumption”—the tracked usage of data in downstream applications (e.g., utilization of attributes in dashboard widgets or customer segmentation rules), and/or its “utility”—a quantifiable impact resulting from the consumption of data (e.g., revenue or number of visits resulting from marketing campaigns that use particular datasets, storage costs of data). This data assessment may be performed at different stages of a data intake, preparation, and/or modeling lifecycle.Type: ApplicationFiled: March 14, 2022Publication date: September 14, 2023Inventors: Arpit Ajay Narechania, Fan Du, Atanu R. Sinha, Ryan A. Rossi, Jane Elizabeth Hoffswell, Shunan Guo, Eunyee Koh, John Anderson, Sonali Surange, Saurabh Mahapatra, Vasanthi Holtcamp