Abstract: Aspects of the present disclosure relate to systems and methods for generating smart notifications for comments associated with collaborative content. A machine learning model is disclosed which is operable to receive a comment and contextual information related to the comment. Based upon the received input, the machine learning model is able to determine a classification for an intent associated with the comment. Based upon the determined intent, a comment is identified as requiring action by one or more of the collaborative users. Aspects of the present disclosure generate a smart notification that can be presented as part of a collaborative user interface to highlight comments that require action.

Abstract: In examples, a set of actions performed by a user is identified as an action sequence. If user performance of the same action sequence or similar action sequences exceeds a predetermined threshold, a recommendation to create a macro may be generated. The macro may have one or more associated triggers, such that it may be invoked using voice input or via a user interface, among other examples. A macro may have an associated context in which it applies. In some instances, a trigger used to invoke the macro comprises an indication as to such a context. For example, the macro may be invoked in the context of a document, such that one or more document parts are processed accordingly. As another example, the macro may be invoked to process multiple documents, as may be related in subject matter or associated with the same application.