Abstract: An interactive user interface for receiving and displaying data is described. The interactive user interface may display data sets from a plurality of external applications and/or data sources. Received data sets may be compiled to form an interactive graphical unit, also called a “card,” that may be displayed in a format based upon that of the native external application of the received data sets. Cards may be grouped with other cards. A card may include a link which allows users to access the native external application of the card to make any desired modifications or changes.

Abstract: Embodiments of the present disclosure present devices, methods, and computer readable medium for presenting a user interface that allows a user to quickly and easily filter and search a digital asset collection. The disclosed techniques allow for rapid recall of desired digital assets, linking assets into logical collections, and an overall improved user experience. The zero keyword/contextual keyword feature presents multimedia content icons and searchable keywords to allow a user to search the digital asset collection simply by tapping on one of these keywords. The top auto completion feature auto-completes suggestions in the search field based on various heuristics to ensure the method produces diverse and relevant results. The next keyword suggestion feature predicts a next search term based on learned properties about the digital asset collection.

Abstract: Embodiments of the present disclosure present devices, methods, and computer readable medium for presenting a user interface that allows a user to quickly and easily filter and search a digital asset collection. The disclosed techniques allow for rapid recall of desired digital assets, linking assets into logical collections, and an overall improved user experience. The zero keyword/contextual keyword feature presents multimedia content icons and searchable keywords to allow a user to search the digital asset collection simply by tapping on one of these keywords. The top auto completion feature auto-completes suggestions in the search field based on various heuristics to ensure the method produces diverse and relevant results. The next keyword suggestion feature predicts a next search term based on learned properties about the digital asset collection.

Abstract: A method of optimizing ranking queries in analytic applications. The method involves dividing a ranking query constructed by a user into multiple sub-commands. These sub-commands are based on the relationship between the foreign key and ranking attributes of a table of data and are run as a batch of commands. As usable data is extracted from each sub-command, it is stored and the foreign key is used as a filter for the next query in the batch. This eliminates accessing irrelevant data and facilitates the query operation. The extracted data is joined as the last step of the process in order to minimize the number of join operations performed by the query while the batch is being executed, thereby facilitating the query process.