Visualizing, Contextualizing and Evaluating Recommendations Generated Using Graph Neural Networks
AssigneeSalesforce, Inc.
InventorsAnamaria CRISAN, Lara THOMPSON, Thomas MATINDE
Life of this patent
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AssigneeSalesforce, Inc.
InventorsAnamaria CRISAN, Lara THOMPSON, Thomas MATINDE
Estimating the term…
A method generates data visualizations for interactive recommender systems for analytic assets. The method obtains recommendations to destination nodes for a source node of an input graph, which includes nodes including the source node and a destination node. Each node stores metadata for a respective analytic asset. The input graph encodes asset lineage that captures relationships between the analytic assets. The method also generates a data visualization for the recommendations. The data visualization includes (i) a summary of the recommendations, (ii) a comparison of the destination nodes, and (iii) a set of factors that contributed to one or more recommendations. The method also includes displaying the data visualization using a graphical user interface. The graphical user interface includes a data region that includes the summary, a recommendation overview region that includes the comparison, and a recommendation detail region that includes the set of factors.
A method of generating data visualizations for interactive recommender systems for analytic assets, the method comprising:
A computer system for visual analysis of datasets, comprising:
A non-transitory computer readable storage medium storing one or more programs configured for execution by a computer system having a display, one or more processors, and memory, the one or more programs comprising instructions for:
Dependencies are inferred from the claim text.