Microsoft Corporation
MACHINE LEARNING-ASSISTED GRAPHICAL USER INTERFACE FOR CONTENT ORGANIZATION

Abstract:

Embodiments described herein are directed to a graphical user interface (GUI) for efficiently managing and organizing data items. The GUI utilizes machine learning-based clustering techniques that cluster data items into different clusters. The GUI displays each cluster as a user-selectable UI element. Each UI element displays keywords that are representative of the associated data items. The GUI enables the user to merge clusters together by interacting with the UI elements. For instance, the user may drag and drop one UI element over another UI element to combine the associated clusters. The GUI also enables a user to selectively associate certain Web pages of one cluster with another cluster. For instance, the GUI enables the user to move a keyword from one UI element to another UI element. The data items associated with that keyword are moved to the cluster represented by the other UI element.