Abstract: Traditional messaging applications (such as email, social networking platforms, text, instant messaging, chat, etc.) are ill-equipped for collaboration. For instance, a sender and recipients corresponding regarding a topic are often required to exchange multiple messages. As a result, determining a consensus regarding the topic or summarizing the collaboration is difficult and cumbersome. Moreover, when links are included in messages, recipients are required to navigate away from the messaging application to view the linked content. A messaging application is provided that may be configured to enable users to dynamically collaborate regarding links or data within a sent message or a receive message. In aspects, a collaborative user experience (UX) is provided, which may be an interface within a message that enables real-time collaboration between a sender and one or more recipients regarding message content —without exchanging additional messages or navigating away from the messaging application.

Abstract: Systems and methods are provided for automatically determining an intent of a user based on an intent model to attach a file to a document, prompting the user to confirm the intent using a predetermined character in an inline nudge, generating and displaying an inline menu with an interactive list of ranked files as a suggestion for attachment. The disclosed technology uses the intent for specifying a scope of the inline search. The intent model for attaching content maintained by third-party applications uses a combination of an embeddings model and an N-gram model with limited seed queries and determines the intent based on intent scores associated with respective third-party applications. The present disclosure ranks respective candidate content based on a degree of relevance to the intent. The user selects one or more content from the list for attaching to the document.

Abstract: Traditional messaging applications (such as email, social networking platforms, text, instant messaging, chat, etc.) are ill-equipped for collaboration. For instance, a sender and recipients corresponding regarding a topic are often required to exchange multiple messages. As a result, determining a consensus regarding the topic or summarizing the collaboration is difficult and cumbersome. Moreover, when links are included in messages, recipients are required to navigate away from the messaging application to view the linked content. A messaging application is provided that may be configured to enable users to dynamically collaborate regarding links or data within a sent message or a receive message. In aspects, a collaborative user experience (UX) is provided, which may be an interface within a message that enables real-time collaboration between a sender and one or more recipients regarding message content—without exchanging additional messages or navigating away from the messaging application.

Abstract: The present disclosure relates to processing operations that generate and present personalized content suggestions to assist a user with document creation. Machine learning modeling may be trained and implemented to evolve pre-canned suggestions for document creation into highly personalized content suggestions, thereby improving the document creation process and user interface experience for users of applications/services that are utilized to create digital documents. As an example, signal data may be detected and analyzed, identifying a specific user's intent to create a digital document. Machine learning modeling may be implemented to evaluate different aspects of collected signal data and identify content from previously created documents, associated with a user account, that may be most relevant to the real-time document creation experience of the user. Personalized contextual suggestions may be presented to a user through a user interface.

Abstract: An email system detects a user interaction to interact with a social media application, within the email system. The email system accesses a social media component that renders a user interface from the social media system and detects interactions with the user interface to generate content for the social media application. The social media component calls the social media application, with the content, and provides a response indicating that the content has been sent to the social media application.

Abstract: An email system detects a user interaction to interact with a social media application, within the email system. The email system accesses a social media component that renders a user interface from the social media system and detects interactions with the user interface to generate content for the social media application. The social media component calls the social media application, with the content, and provides a response indicating that the content has been sent to the social media application.

Abstract: Traditional messaging applications (such as email, social networking platforms, text, instant messaging, chat, etc.) are ill-equipped for collaboration. For instance, a sender and recipients corresponding regarding a topic are often required to exchange multiple messages. As a result, determining a consensus regarding the topic or summarizing the collaboration is difficult and cumbersome. Moreover, when links are included in messages, recipients are required to navigate away from the messaging application to view the linked content. A messaging application is provided that may be configured to enable users to dynamically collaborate regarding links or data within a sent message or a receive message. In aspects, a collaborative user experience (UX) is provided, which may be an interface within a message that enables real-time collaboration between a sender and one or more recipients regarding message content—without exchanging additional messages or navigating away from the messaging application.

Abstract: Collaborator content selection and manipulation actions and comments during interaction with a document are recorded to enhance asynchronous collaboration. The collaborator content selection and manipulation actions and comments are recorded during interaction with a document in a first collaboration viewport at a first time and played back in a second collaboration viewport at a second time while the same or a different instance of the document is displayed. The collaborator content selection and manipulation actions and comments include at least text selection, mouse or pen movements, and voice comments or ink annotations that are played back to recreate the collaborator changes and comments as though they were occurring in real-time, thereby creating a user experience that is more like the “over the shoulder” collaboration that would be available to collaborators that are at the same physical location.

Abstract: The present disclosure relates to processing operations that generate and present personalized content suggestions to assist a user with document creation. Machine learning modeling may be trained and implemented to evolve pre-canned suggestions for document creation into highly personalized content suggestions, thereby improving the document creation process and user interface experience for users of applications/services that are utilized to create digital documents. As an example, signal data may be detected and analyzed, identifying a specific user's intent to create a digital document. Machine learning modeling may be implemented to evaluate different aspects of collected signal data and identify content from previously created documents, associated with a user account, that may be most relevant to the real-time document creation experience of the user. Personalized contextual suggestions may be presented to a user through a user interface.

Abstract: The present disclosure relates to processing operations that generate and present personalized content suggestions to assist a user with document creation. Machine learning modeling may be trained and implemented to evolve pre-canned suggestions for document creation into highly personalized content suggestions, thereby improving the document creation process and user interface experience for users of applications/services that are utilized to create digital documents. As an example, signal data may be detected and analyzed, identifying a specific user's intent to create a digital document. Machine learning modeling may be implemented to evaluate different aspects of collected signal data and identify content from previously created documents, associated with a user account, that may be most relevant to the real-time document creation experience of the user. Personalized contextual suggestions may be presented to a user through a user interface.

Abstract: A system configured intelligently reusing content and format is provided. The system receives a selection of data to be copied and an indication to copy the selected data and copies the selected data. The system receives an indication to paste the selected data at a second location. The selected data is analyzed to determine one or more options available for the paste, whereby each of the options being selectable to change an aspect of the selected data being pasted. The one or more options and an image of a placeholder representing the selected data are presented at the second location. The system receives a selection of an option from the one or more options. In response to receiving the selection of the option, the system causes presentation of the selected data in place of the image of the placeholder based on the selected option.

Abstract: An application can provide a UI that includes UI elements for defining talking points to be discussed in conjunction with slides in a presentation file. The application can also provide a UI for assisting a user while the user is making a presentation using a presentation file for which talking points have been defined. For example, the application can recognize the speech of a presenter during a presentation and identify topics within the recognized speech. The application can then identify the talking points that the presenter has discussed based upon their identified topics. The application can also provide a presenter view UI that includes UI elements that display data identifying the talking points that have not been recognized within the user's speech during the presentation. In this way, a presenter can quickly identify the talking points that they have covered and those that they have not covered in real-time.

Abstract: The systems and techniques disclosed here feature a device including an audio analyzer connected to microphone(s) monitoring a conversation between one or more individuals. The audio analyzer can identify auditory expressions from audio captured by the microphone, where the auditory expressions can include linguistic expressions and nonlinguistic expressions. The audio analyzer can analyze the linguistic expressions to identify a topic and a time period when the topic was discussed. A video analyzer can be connected to camera(s) monitoring the conversation. The video analyzer can identify non-auditory expressions by the individuals from video captured by the camera. A sentiment analyzer can analyze auditory expressions during the time period when the topic was discussed and non-auditory expressions during the time period when the topic was discussed to determine sentiments to the topic. A processor can analyze the determined sentiments to the topic to determine a group sentiment to the topic.

Abstract: The systems and techniques disclosed here feature a device including an audio analyzer connected to microphone(s) monitoring a conversation between one or more individuals. The audio analyzer can identify auditory expressions from audio captured by the microphone, where the auditory expressions can include linguistic expressions and nonlinguistic expressions. The audio analyzer can analyze the linguistic expressions to identify a topic and a time period when the topic was discussed. A video analyzer can be connected to camera(s) monitoring the conversation. The video analyzer can identify non-auditory expressions by the individuals from video captured by the camera. A sentiment analyzer can analyze auditory expressions during the time period when the topic was discussed and non-auditory expressions during the time period when the topic was discussed to determine sentiments to the topic. A processor can analyze the determined sentiments to the topic to determine a group sentiment to the topic.

Abstract: A touch gesture navigation system and process for facilitating interaction with options on smaller touchscreens. As an example, a user may access a menu of options associated with a portion of electronic document via a user interface. In order to navigate between the presented options, the user may swipe in a first direction. Each time the user swipes the target selection can move to an adjacent option in the menu. The user can then swipe in a different direction to confirm the selection and actuate a task associated with that selection. In some implementations, the presentation of such a menu can automatically enable these types of touch gesture navigational mechanism, and the dismissal of such a menu can also automatically disable the touch gesture navigational mechanism.

Abstract: Collaborator content selection and manipulation actions and comments during interaction with a document are recorded to enhance asynchronous collaboration. The collaborator content selection and manipulation actions and comments are recorded during interaction with a document in a first collaboration viewport at a first time and played back in a second collaboration viewport at a second time while the same or a different instance of the document is displayed. The collaborator content selection and manipulation actions and comments include at least text selection, mouse or pen movements, and voice comments or ink annotations that are played back to recreate the collaborator changes and comments as though they were occurring in real-time, thereby creating a user experience that is more like the “over the shoulder” collaboration that would be available to collaborators that are at the same physical location.

Abstract: A computing device identifies detects changes to a shared document from a plurality of users. The computing device determines change activities and corresponding provenance to the shared document in response to detecting the changes. A context of granular changes is generated based on the change activities and corresponding provenance to the shared document. The computing device generates a graphical user interface based on the context. The graphical user interface provides a visualization of the granular changes.

Abstract: A system configured intelligently reusing content and format is provided. The system receives a selection of data to be copied and an indication to copy the selected data and copies the selected data. The system receives an indication to paste the selected data at a second location. The selected data is analyzed to determine one or more options available for the paste, whereby each of the options being selectable to change an aspect of the selected data being pasted. The one or more options and an image of a placeholder representing the selected data are presented at the second location. The system receives a selection of an option from the one or more options. In response to receiving the selection of the option, the system causes presentation of the selected data in place of the image of the placeholder based on the selected option.

Abstract: A computing device receives a request to share a document to a plurality of recipients. The computing device determines a type of audience for each recipient and modifies the document based the type of audience for each recipient of the plurality of recipients. The computing device provides the modified document to the plurality of recipients.

Abstract: An application can provide a UI that includes UI elements for defining talking points to be discussed in conjunction with slides in a presentation file. The application can also provide a UI for assisting a user while the user is making a presentation using a presentation file for which talking points have been defined. For example, the application can recognize the speech of a presenter during a presentation and identify topics within the recognized speech. The application can then identify the talking points that the presenter has discussed based upon their identified topics. The application can also provide a presenter view UI that includes UI elements that display data identifying the talking points that have not been recognized within the user's speech during the presentation. In this way, a presenter can quickly identify the talking points that they have covered and those that they have not covered in real-time.