Abstract: The present disclosure is directed toward systems, methods, and non-transitory computer readable media for generating and providing synthetic visualizations representative of content collections within a content management system. In some cases, the disclosed systems generate a synthetic visualization based on content features that indicate relevance of content items with respect to a user account to emphasize more relevant content items within the synthetic visualization and/or to represent descriptive content attributes of the content items. For example, the disclosed systems can generate a synthetic phrase that represents a content collection and can further generate a synthetic visualization from the synthetic phrase utilizing a synthetic visualization machine learning model.

Abstract: The present technology provides an improved search interface that provides suggested search terms in a variety of categories. The suggested search terms are first presented in an “empty search state” i.e., before the user has entered any search terms. And the suggested search terms are repeatedly refined as the user provides inputs into the search interface until a number of search results are few enough that the interface provides search results. The present technology also provides improved search suggestions. In particular, the present technology utilizes predictive algorithms including machine learning algorithms to intelligently provide suggested search terms in the variety of categories.

Abstract: This disclosure describes embodiments of systems, methods, and non-transitory computer readable storage media that can detect scene types across various portions of media content and display collections that organize segments (or portions) of media content (e.g., videos or images) according to the detected scene types for the media content files. For example, the disclosed systems can automatically identify content segments of media content that belong to one or more identified scene types and display the content segments organized by the different scene types. In order to determine the scene types for the content segments of the media content files, the disclosed systems can utilize machine learning that determines relevancies between data of the media content files and the scene types. Furthermore, the disclosed systems can display, within a GUI, the groupings of media content segments organized by the different scene types.

Abstract: The present technology provides an improved search interface that provides suggested search terms in a variety of categories. The suggested search terms are first presented in an “empty search state” i.e., before the user has entered any search terms. And the suggested search terms are repeatedly refined as the user provides inputs into the search interface until a number of search results are few enough that the interface provides search results. The present technology also provides improved search suggestions. In particular, the present technology utilizes predictive algorithms including machine learning algorithms to intelligently provide suggested search terms in the variety of categories.

Abstract: The present disclosure is directed toward systems, methods, and non-transitory computer readable media for generating and providing synthetic visualizations representative of content collections within a content management system. In some cases, the disclosed systems generate a synthetic visualization based on content features that indicate relevance of content items with respect to a user account to emphasize more relevant content items within the synthetic visualization and/or to represent descriptive content attributes of the content items. For example, the disclosed systems can generate a synthetic phrase that represents a content collection and can further generate a synthetic visualization from the synthetic phrase utilizing a synthetic visualization machine learning model.

Abstract: The present disclosure is directed toward systems, methods, and non-transitory computer readable media for generating, arranging, and providing subgroupings of content items according to content attributes and dynamic facets. For example, the disclosed systems generate dynamic facets reflecting content attributes, where the dynamic facets are selectable interface elements for arranging content items into subgroups. In certain cases, as part of generating a subgrouping of content items, the disclosed systems can identify portions of content items (e.g., segments of a digital video or sections of a digital document) that correspond to a dynamic facet. The disclosed systems can also provide filtering options for creating or refining subgroupings from a content collection by, for example, filtering according to recency criteria such as file type, recency of interaction, collaborative user accounts, or others.