CONTEXTUAL RECOMMENDATIONS FOR DATA VISUALIZATIONS

    公开(公告)号:US20250103606A1

    公开(公告)日:2025-03-27

    申请号:US18472769

    申请日:2023-09-22

    Abstract: Various embodiments of the present technology generally relate to systems and methods for generating contextual recommendations for data visualizations. In certain embodiments, a method may comprise operating a data analytics system to implement a contextual data visualization recommendation process configured to generate proposed data visualizations contextually relevant to a user. The method may include evaluating columns of a dataset for contextual relevance, including scoring the columns based on a canvas disposition scoring factor corresponding to which of the columns appear most frequently in a canvas of previously generated visualizations of the user, and scoring the columns based on a user reactions scoring factor corresponding to user action event data reflecting approval of visualizations and associated columns. The method may further include ranking the columns based on the evaluation, generating the proposed data visualizations based on a selection of highest-ranking columns, and providing the proposed data visualizations to the user.

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