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    Personalized visualization recommendation system
    1.
    发明授权
    Personalized visualization recommendation system 有权

    公开(公告)号：US11720590B2

    公开(公告)日：2023-08-08

    申请号：US17091941

    申请日：2020-11-06

    Applicant: ADOBE INC.

    Inventor： Ryan Rossi ,  Vasanthi Holtcamp ,  Tak Yeon Lee ,  Sungchul Kim ,  Sana Lee ,  Nathan Ross ,  John Anderson ,  Fan Du ,  Eunyee Koh ,  Xin Qian

    IPC: G06F16/9535 ,  G06F16/26 ,  G06F3/0482 ,  G06F11/34 ,  G06F11/30 ,  G06F16/9038

    CPC classification number: G06F16/26 ,  G06F3/0482 ,  G06F11/302 ,  G06F11/3438 ,  G06F16/9038

    Abstract: Systems and methods for personalized visualization recommendation are described. Embodiments of the described systems and methods are configured to identify a first matrix representing user interactions with a plurality of data attributes corresponding to a plurality of datasets, a second matrix representing user interactions with a plurality of visualizations, and a third matrix representing a plurality of meta-features for each of the data attributes; compute low-dimensional embeddings representing user characteristics, the data attributes, visualization configurations, and the meta-features using joint factorization of the first matrix, the second matrix and the third matrix; generate a model for predicting visualization preference weights based on the low-dimensional embeddings; predict the visualization preference weights for a user corresponding to a plurality of candidate visualizations of dataset using the model; and generate a personalized visualization of the dataset for the user based on the predicted visualization preference weights.

    Machine Learning Techniques for Generating Visualization Recommendations
    3.
    发明申请
    Machine Learning Techniques for Generating Visualization Recommendations 有权

    公开(公告)号：US20220300836A1

    公开(公告)日：2022-09-22

    申请号：US17207959

    申请日：2021-03-22

    Applicant: Adobe Inc.

    Inventor： Ryan Rossi ,  Xin Qian ,  Tak Yeon Lee ,  Sungchul Kim ,  Sana Lee ,  Fan Du ,  Eunyee Koh

    IPC: G06N5/04 ,  G06N20/00

    Abstract: 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.

    Automated Caption Generation from a Dataset
    4.
    发明申请
    Automated Caption Generation from a Dataset 有权

    公开(公告)号：US20220147708A1

    公开(公告)日：2022-05-12

    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

    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.

    PERSONALIZED VISUALIZATION RECOMMENDATION SYSTEM
    5.
    发明申请
    PERSONALIZED VISUALIZATION RECOMMENDATION SYSTEM 有权

    公开(公告)号：US20220147540A1

    公开(公告)日：2022-05-12

    申请号：US17091941

    申请日：2020-11-06

    Applicant: ADOBE INC.

    Inventor： RYAN Rossi ,  Vasanthi Holtcamp ,  Tak Yeon Lee ,  Sungchul Kim ,  Sana Lee ,  Nathan Ross ,  John Anderson ,  Fan Du ,  Eunyee Koh ,  Xin Qian

    IPC: G06F16/26 ,  G06F11/30 ,  G06F11/34 ,  G06F3/0482

    Abstract: Systems and methods for personalized visualization recommendation are described. Embodiments of the described systems and methods are configured to identify a first matrix representing user interactions with a plurality of data attributes corresponding to a plurality of datasets, a second matrix representing user interactions with a plurality of visualizations, and a third matrix representing a plurality of meta-features for each of the data attributes; compute low-dimensional embeddings representing user characteristics, the data attributes, visualization configurations, and the meta-features using joint factorization of the first matrix, the second matrix and the third matrix; generate a model for predicting visualization preference weights based on the low-dimensional embeddings; predict the visualization preference weights for a user corresponding to a plurality of candidate visualizations of dataset using the model; and generate a personalized visualization of the dataset for the user based on the predicted visualization preference weights.

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