Abstract: A reference to a digital item is stored as a digital card. The digital card can also be contained in, and/or refer to, other digital cards. The digital card can also include properties or attributes that may be added from the digital item that is being referred to. The digital card can be tagged with a tag that may also be applied to other digital cards. The digital card can be stored in a data pod within a de-centralized data storage system architecture so the tag is surfaced along with the digital card in different contexts.

Abstract: Methods and systems for deferring and resuming content from multiple applications. An application executing a client device may have an open content item, such as a file, document, or message. An input to park or defer the content item may be received. In response to the input, a data container for a parked item for the content item is created in a remote content-deferral platform. Metadata for the content item is retrieved and stored within the data container along with additional data, which may be user curated, to form the parked item. The parked item may then be accessed from multiple different applications via a park pane.

Abstract: A metafolder system manages a graph that identifies activities that are performed with respect to digital cards and that identifies relationships among the digital cards. The digital cards from a plurality of different locations in the de-centralized data storage system architecture can be aggregated for projection as coming from a single virtual location.

Abstract: A reference to a digital item is stored as a digital card. The digital card can also be contained in, and/or refer to, other digital cards. The digital card can also include properties or attributes that may be added from the digital item that is being referred to. The digital card can be stored in a data pod within a de-centralized data storage system architecture.

Abstract: An artificial intelligence (“AI”) based system is disclosed for associating low-level user content, such as documents, email messages, and calendar invites, with high-level user activities using topics as an abstraction. The associations can enable a computing system to provide, among other things, activity-specific views that present a specific selection of low-level user content that is most relevant to a user at a particular point in time. The activity-specific views present the right information to users at the right time based on a context of a user and a user's past activities.

Abstract: To improve efficiency of computing devices and improve the user experience thereon when searching for relevant events, the systems and methods disclosed herein provide event management and automated relevant event discovery. User information and event information are collected and stored, and events are searched for based on relevancy to a user. Relevancy to a user may be based at least in part on at least one of: non-conflict with calendar items in the user's calendar, location, the user's interests, the user's preferences and activity of the user's friends or contacts.

Abstract: An artificial intelligence (“AI”) based system is disclosed for associating low-level user content, such as documents, email messages, and calendar invites, with high-level user activities using topics as an abstraction. The associations can enable a computing system to provide, among other things, activity-specific views that present a specific selection of low-level user content that is most relevant to a user at a particular point in time. The activity-specific views present the right information to users at the right time based on a context of a user and a user's past activities.

Abstract: An artificial intelligence (“AI”) based system is disclosed for associating low-level user content, such as documents, email messages, and calendar invites, with high-level user activities using topics as an abstraction. The associations can enable a computing system to provide, among other things, activity-specific views that present a specific selection of low-level user content that is most relevant to a user at a particular point in time. The activity-specific views present the right information to users at the right time based on a context of a user and a user's past activities.

Abstract: Technology is disclosed herein for enhancing a file aggregation service. In an implementation, a set of files associated with a user is identified. For at least a file of the set of files, one or more events that occurred with respect to the file are identified. Based at least on the one or more events, one or more synthetic attributes of the file are generated. The one or more synthetic attributes comprise an attribute that differs relative to existing attributes of the file. A file system view of the set of files is then generated which comprises the one or more synthetic attributes of the file. The file system view of the set of files is displayed to a user.

Abstract: Technologies are generally described for providing a system to facilitate efficient management and prioritization of conversations, such as emails, in a communication application. Conversations may be prioritized according to user preferences, and an inbox may be rearranged to display important conversations in a user defined order. Conversations may also be associated together so that they may appear together and flow together in the inbox. Additionally, the system may enable a user to delay display of a conversation until a later time based on various criteria such as location, time, and client device. A user may also move important emails to the top of an inbox for prominent display. The system may perform the actions automatically based on observed user behavior. Furthermore, the system may enable touch interactions for interacting with and managing the conversations, and quick controls may be provided for executing commands to perform actions associated with the conversations.

Abstract: Aspects of the present disclosure relate to systems and methods for integrating first class objects with email messages in an email inbox of an email client. In one example, a request is sent via the email client for first class object data to one or more data sources, where each data source of the one or more data sources includes first class object data of a different first class object type. The first class object data may be received at the email client from the one or more data sources. One or more first class objects may be created from the first class object data for injecting into an email inbox of the email client. The email inbox including at least some of the one or more first class objects and a plurality of email messages may be rendered in a user interface to the email client.

Abstract: Aspects of the present disclosure relate to systems and methods for integrating first class objects with email messages in an email inbox of an email client. In one example, a request is sent via the email client for first class object data to one or more data sources, where each data source of the one or more data sources includes first class object data of a different first class object type. The first class object data may be received at the email client from the one or more data sources. One or more first class objects may be created from the first class object data for injecting into an email inbox of the email client. The email inbox including at least some of the one or more first class objects and a plurality of email messages may be rendered in a user interface to the email client.

Abstract: An artificial intelligence (“AI”) based system is disclosed for associating low-level user content, such as documents, email messages, and calendar invites, with high-level user activities using topics as an abstraction. The associations can enable a computing system to provide, among other things, activity-specific views that present a specific selection of low-level user content that is most relevant to a user at a particular point in time. The activity-specific views present the right information to users at the right time based on a context of a user and a user's past activities.

Abstract: An artificial intelligence (“AI”) engine selects a schema that defines an activity-specific user interface (“UI”) for presenting activity-specific content based upon one or more topics associated with an activity. A UI can then be presented for receiving edits to the selected schema and the edits can be published for utilization by other users. Data identifying the edits, selection of a different schema for the activity, modification of properties associated with the selected schema, and data describing usage of the schema can be provided to the AI engine for using in improving an AI model utilized to select the schema.

Abstract: Prioritized and categorized presentation of incoming communications is provided based on characteristics of the communications such as sender, recipients, subject, body content, recipient's past interactions, and similar ones. User or administrator defined explicit rules and configurations may be taken into consideration along with analysis results of incoming communication attributes and user history in determining a category and a priority level for the incoming communication. The incoming communication may then be presented according to the determined category and priority level along with tools for the recipient to modify automatic determinations and otherwise interact with the communication.

Abstract: Systems, methods, and software are disclosed herein to launch embedded extensions in the context of an e-mail application. In an implementation, a user may interact with an e-mail application. An e-mail message is received into an inbox of the e-mail application. The e-mail message may include an embedded extension. The user opens the e-mail, including the embedded extension, for viewing. While viewing the e-mail message, the user clicks on the embedded extension, which launches the embedded extension within the context of the e-mail application.

Abstract: Aspects of the present disclosure relate to systems and methods for integrating first class objects with email messages in an email inbox of an email client. In one example, a request is sent via the email client for first class object data to one or more data sources, where each data source of the one or more data sources includes first class object data of a different first class object type. The first class object data may be received at the email client from the one or more data sources. One or more first class objects may be created from the first class object data for injecting into an email inbox of the email client. The email inbox including at least some of the one or more first class objects and a plurality of email messages may be rendered in a user interface to the email client.

Abstract: To improve efficiency of computing devices and improve the user experience thereon when searching for relevant events, the systems and methods disclosed herein provide event management and automated relevant event discovery. User information and event information are collected and stored, and events are searched for based on relevancy to a user. Relevancy to a user may be based at least in part on at least one of: non-conflict with calendar items in the user's calendar, location, the user's interests, the user's preferences and activity of the user's friends or contacts.

Abstract: Technologies are generally described for providing a system to facilitate efficient management and prioritization of conversations, such as emails, in a communication application. Conversations may be prioritized according to user preferences, and an inbox may be rearranged to display important conversations in a user defined order. Conversations may also be associated together so that they may appear together and flow together in the inbox. Additionally, the system may enable a user to delay display of a conversation until a later time based on various criteria such as location, time, and client device. A user may also move important emails to the top of an inbox for prominent display. The system may perform the actions automatically based on observed user behavior. Furthermore, the system may enable touch interactions for interacting with and managing the conversations, and quick controls may be provided for executing commands to perform actions associated with the conversations.

Abstract: Prioritized and categorized presentation of incoming communications is provided based on characteristics of the communications such as sender, recipients, subject, body content, recipient's past interactions, and similar ones. User or administrator defined explicit rules and configurations may be taken into consideration along with analysis results of incoming communication attributes and user history in determining a category and a priority level for the incoming communication. The incoming communication may then be presented according to the determined category and priority level along with tools for the recipient to modify automatic determinations and otherwise interact with the communication.