Patents by Inventor Tak Yeon Lee
Tak Yeon Lee 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: 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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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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Patent number: 11720590Abstract: Systems and methods for personalized visualization recommendation are described.Type: GrantFiled: November 6, 2020Date of Patent: August 8, 2023Assignee: ADOBE INC.Inventors: Ryan Rossi, Vasanthi Holtcamp, Tak Yeon Lee, Sungchul Kim, Sana Lee, Nathan Ross, John Anderson, Fan Du, Eunyee Koh, Xin Qian
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Patent number: 11645523Abstract: Systems, methods, and non-transitory computer-readable media are disclosed for generating generate explanatory paths for column annotations determined using a knowledge graph and a deep representation learning model. For instance, the disclosed systems can utilize a knowledge graph to generate an explanatory path for a column label determination from a deep representation learning model. For example, the disclosed systems can identify a column and determine a label for the column using a knowledge graph (e.g., a representation of a knowledge graph) that includes encodings of columns, column features, relational edges, and candidate labels. Then, the disclosed systems can determine a set of candidate paths between the column and the determined label for the column within the knowledge graph. Moreover, the disclosed systems can generate an explanatory path by ranking and selecting paths from the set of candidate paths using a greedy ranking and/or diversified ranking approach.Type: GrantFiled: February 20, 2020Date of Patent: May 9, 2023Assignee: Adobe Inc.Inventors: Yikun Xian, Tak Yeon Lee, Sungchul Kim, Ryan Rossi, Handong Zhao
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Publication number: 20230130778Abstract: 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: ApplicationFiled: December 21, 2022Publication date: April 27, 2023Inventors: Shenyu Xu, Eunyee Koh, Fan Du, Tak Yeon Lee, Sana Malik Lee, Ryan Rossi
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Publication number: 20230077829Abstract: 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.Type: ApplicationFiled: September 14, 2021Publication date: March 16, 2023Applicant: Adobe Inc.Inventors: Sana Malik Lee, Zhuohao Zhang, Zhicheng Liu, Tak Yeon Lee, Shunan Guo, Ryan A. Rossi, Fan Du, Eunyee Koh
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Publication number: 20230030341Abstract: 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.Type: ApplicationFiled: July 22, 2021Publication date: February 2, 2023Inventors: 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
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Patent number: 11562234Abstract: Systems, methods, and non-transitory computer-readable media are disclosed for dynamically determining schema labels for columns regardless of information availability within the columns. For example, the disclosed systems can identify a column that contains an arbitrary amount of information (e.g., a header-only column, a cell-only column, or a whole column). Additionally, the disclosed systems can generate a vector embedding for an arbitrary input column by selectively using a header neural network and/or a cell neural network based on whether the column includes a header label and/or whether the column includes a populated column cell. Furthermore, the disclosed systems can compare the column vector embedding to schema vector embeddings of candidate schema labels in a d-dimensional space to determine a schema label for the column.Type: GrantFiled: January 24, 2020Date of Patent: January 24, 2023Assignee: Adobe Inc.Inventors: Yikun Xian, Tak Yeon Lee, Sungchul Kim, Ryan Rossi, Handong Zhao
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Patent number: 11562019Abstract: 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: January 28, 2021Date of Patent: January 24, 2023Assignee: Adobe Inc.Inventors: Shenyu Xu, Eunyee Koh, Fan Du, Tak Yeon Lee, Sana Malik Lee, Ryan Rossi
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Publication number: 20220405314Abstract: 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: ApplicationFiled: June 22, 2021Publication date: December 22, 2022Inventors: 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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Detecting and resolving semantic misalignments between digital messages and external digital content
Patent number: 11461801Abstract: 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.Type: GrantFiled: March 2, 2018Date of Patent: October 4, 2022Assignee: Adobe Inc.Inventors: Tak Yeon Lee, Eunyee Koh -
Publication number: 20220300836Abstract: A visualization recommendation system generates recommendation scores for multiple visualizations that combine data attributes of a dataset with visualization configurations. The visualization recommendation system maps meta-features of the dataset to a meta-feature space and configuration attributes of the visualization configurations to a configuration space. The visualization recommendation system generates meta-feature vectors that describe the mapped meta-features, and generates configuration attribute sets that describe the attributes of the visualization configurations. The visualization recommendation system applies multiple scoring models to the meta-feature vectors and configuration attribute sets, including a wide scoring model and a deep scoring model. In some cases, the visualization recommendation system trains the multiple scoring models using the meta-feature vectors and configuration attribute sets.Type: ApplicationFiled: March 22, 2021Publication date: September 22, 2022Inventors: Ryan Rossi, Xin Qian, Tak Yeon Lee, Sungchul Kim, Sana Lee, Fan Du, Eunyee Koh
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Publication number: 20220244815Abstract: 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: ApplicationFiled: January 29, 2021Publication date: August 4, 2022Inventors: 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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Publication number: 20220237228Abstract: 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: ApplicationFiled: January 28, 2021Publication date: July 28, 2022Inventors: Shenyu Xu, Eunyee Koh, Fan Du, Tak Yeon Lee, Sana Malik Lee, Ryan Rossi
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Patent number: 11397843Abstract: In implementations of systems for suggesting content components, a computing device implements a design system to receive input data describing a feature of a content component to be included in a hypertext markup language (HTML) document. The design system represents that feature of the content component as a document object model (DOM) element and determines a hash value for the DOM element using locality-sensitive hashing. Manhattan distances are computed between the has value and has values described by a segment of content component data. The hash values were determined using the locality-sensitive hashing for DOM elements extracted from a corpus of HTML documents. The design system generates indications, for display in a user interface, of candidate content components for inclusion in the HTML document based on the Manhattan distances.Type: GrantFiled: August 27, 2021Date of Patent: July 26, 2022Assignee: Adobe Inc.Inventors: Tak Yeon Lee, Sana Malik Lee, Ryan A. Rossi, Qisheng Li, Fan Du, Eunyee Koh
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Patent number: 11341204Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for determining and resolving misalignments between digital messages containing links and corresponding external digital content. For example, in one or more embodiments, the disclosed systems extract a plurality of alignment classification features from a digital link in a digital message and corresponding external digital content. Based on the alignment classification features and using a machine learning classification model, the disclosed system can generate alignment probability scores for a plurality of misalignment classes. The disclosed system can report identified misalignments of corresponding misalignment classes in a misalignment identification user interface. Furthermore, the disclosed system can receive publisher input via the misalignment identification user interface to further personalize the machine learning classification model.Type: GrantFiled: May 22, 2019Date of Patent: May 24, 2022Assignee: Adobe Inc.Inventors: Tak Yeon Lee, Jonggi Hong, Eunyee Koh
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Publication number: 20220147540Abstract: Systems and methods for personalized visualization recommendation are described.Type: ApplicationFiled: November 6, 2020Publication date: May 12, 2022Inventors: RYAN Rossi, Vasanthi Holtcamp, Tak Yeon Lee, Sungchul Kim, Sana Lee, Nathan Ross, John Anderson, Fan Du, Eunyee Koh, Xin Qian
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Publication number: 20220147708Abstract: 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: ApplicationFiled: November 10, 2020Publication date: May 12, 2022Applicant: Adobe Inc.Inventors: Eunyee Koh, Xin Qian, Tak Yeon Lee, Sana Malik Lee, Ryan Anthony Rossi, Fan Du, Duy-Trung Trong Dinh