Abstract: Systems, methods, and software are disclosed herein that provide a computer-based user experience that allows a user to consume information about physical and digital activities undertaken by one or more users. In an implementation, a software application on a computing device communicates with an online service to obtain activity information indicative of such activities, as well as activity topics produced by the service. The application groups the activities into activity groups based at least on the topics produced for the activities, and displays the activity groups in a user interface to the application.

Abstract: Systems and methods for identifying flagged content. One computer-based system includes an electronic processor configured to receive one or more websites, each website including a label identifying a flagged category and content, analyze one or more words included in the content of each of the one or more websites, and associate at least one of the one or more words included in the content of each of the one or more websites with the flagged category. The electronic processor is configured to perform, using the at least one of the one or more words, a query within a search engine to obtain one or more second websites, label each of the one or more second websites with the label identifying the flagged category, and update a model with the one or more websites, the one or more second websites, the one or more words, and the associated labels.

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.