Abstract: Non-limiting examples describe sharing of bundled content through an application/service. A first input may be received, through a user interface of the email service. The first input is associated with a selection of a user interface element for sharing of a bundle of emails that comprises a grouping of at least two separate email threads. A second input is received indicating one or more other users for sharing the bundle of emails. The bundle of emails is shared with the one or more other users. Sharing of the bundle of emails creates a sharing permission that enables multi-directional sharing between the user and the one or more other users for current content of the shared bundle of emails and future content added to the shared bundle of emails. The shared bundle of emails is displayed inline with other emails of an email mailbox of the user through the user interface.

Abstract: Non-limiting examples describe enhanced searching and filtering of message content by an application/service. Processing operations described herein are applicable to any type of message content including but not limited to bundled content of an email service. A search input may be received through a user interface of an email service. The search input may be for searching emails associated with a mailbox the email service. Email results may be retrieved based on the received search input. The retrieved email results may be categorized into one or more categories. A smart filter may be generated for filtering the retrieved email results. An exemplary smart filter may comprise at least one filter field that corresponds to category specific content extracted from emails of a category of the one or more categories. The email results and the smart filter may be displayed through the user interface of the email service.

Abstract: Non-limiting examples describe automated management of rich content previews associated with bundled content of an application/service. As an example, a bundle of content may be a bundle of emails created within an email service. Email content associated with a bundle of emails may be accessed. The email content may be evaluated based on application of machine learning model that: determines an entity type associated with the bundle of emails based on the tag, identifies a state associated with the bundle of emails, and determines relevancy of specific email content in association with a determined entity type and the identified state associated with the bundle of emails. A rich content preview for the bundle of emails may be generated based on an evaluation of the email content.

Abstract: Non-limiting examples describe automated bundling of content on behalf of a user by an application/service. As an example, a bundle of content may be a bundle of emails created on behalf of a user by an email service. Email data associated with a user account of an email service may be accessed. The email data may be evaluated by applying a bundle generation model that that evaluates the emails for bundling associations. An exemplary bundle generation model may evaluate the email data based on: user signal data from actions pertaining to categorization of specific emails, content and metadata corresponding with the email data, and server side metric analysis of activity corresponding with the user account. A bundle of emails may be automatically generated based on an evaluation result from applying the bundle generation model. The bundle of emails may be transmitted for display in a mailbox of the user account.

Abstract: Non-limiting examples describe automated bundling of content on behalf of a user by an application/service. As an example, a bundle of content may be a bundle of emails created on behalf of a user by an email service. Email data associated with a user account of an email service may be accessed. The email data may be evaluated by applying a bundle generation model that that evaluates the emails for bundling associations. An exemplary bundle generation model may evaluate the email data based on: user signal data from actions pertaining to categorization of specific emails, content and metadata corresponding with the email data, and server side metric analysis of activity corresponding with the user account. A bundle of emails may be automatically generated based on an evaluation result from applying the bundle generation model. The bundle of emails may be transmitted for display in a mailbox of the user account.

Abstract: Non-limiting examples describe automated bundling of content on behalf of a user by an application/service. As an example, a bundle of content may be a bundle of emails created on behalf of a user by an email service. Email data associated with a user account of an email service may be accessed. The email data may be evaluated by applying a bundle generation model that that evaluates the emails for bundling associations. An exemplary bundle generation model may evaluate the email data based on: user signal data from actions pertaining to categorization of specific emails, content and metadata corresponding with the email data, and server side metric analysis of activity corresponding with the user account. A bundle of emails may be automatically generated based on an evaluation result from applying the bundle generation model. The bundle of emails may be transmitted for display in a mailbox of the user account.

Abstract: Non-limiting examples describe automated bundling of content on behalf of a user by an application/service. As an example, a bundle of content may be a bundle of emails created on behalf of a user by an email service. Email data associated with a user account of an email service may be accessed. The email data may be evaluated by applying a bundle generation model that that evaluates the emails for bundling associations. An exemplary bundle generation model may evaluate the email data based on: user signal data from actions pertaining to categorization of specific emails, content and metadata corresponding with the email data, and server side metric analysis of activity corresponding with the user account. A bundle of emails may be automatically generated based on an evaluation result from applying the bundle generation model. The bundle of emails may be transmitted for display in a mailbox of the user account.

Abstract: Non-limiting examples of the present disclosure describe content bundle creation, where a user can create an exemplary bundle of content through an application/service. As an example, a bundle of content may be a bundle of emails created by a user through an exemplary email service. A first input may be received through a user interface of an email service. The first input associates a first email thread with one or more additional emails threads. A second input may be received through the user interface. The second input provides a tag to associate with the first email thread and the one or more additional email threads. An exemplary bundle of emails may be generated. The bundle of emails may comprise the first email thread, the one or more additional email threads and an association with the tag. The bundle of emails may be displayed inline in a mailbox of an email service.

Abstract: Non-limiting examples describe automated management of rich content previews associated with bundled content of an application/service. As an example, a bundle of content may be a bundle of emails created within an email service. Email content associated with a bundle of emails may be accessed. The email content may be evaluated based on application of machine learning model that: determines an entity type associated with the bundle of emails based on the tag, identifies a state associated with the bundle of emails, and determines relevancy of specific email content in association with a determined entity type and the identified state associated with the bundle of emails. A rich content preview for the bundle of emails may be generated based on an evaluation of the email content.

Abstract: Non-limiting examples describe enhanced searching and filtering of message content by an application/service. Processing operations described herein are applicable to any type of message content including but not limited to bundled content of an email service. A search input may be received through a user interface of an email service. The search input may be for searching emails associated with a mailbox the email service. Email results may be retrieved based on the received search input. The retrieved email results may be categorized into one or more categories. A smart filter may be generated for filtering the retrieved email results. An exemplary smart filter may comprise at least one filter field that corresponds to category specific content extracted from emails of a category of the one or more categories. The email results and the smart filter may be displayed through the user interface of the email service.

Abstract: Non-limiting examples describe sharing of bundled content through an application/service. A first input may be received, through a user interface of the email service. The first input is associated with a selection of a user interface element for sharing of a bundle of emails that comprises a grouping of at least two separate email threads. A second input is received indicating one or more other users for sharing the bundle of emails. The bundle of emails is shared with the one or more other users. Sharing of the bundle of emails creates a sharing permission that enables multi-directional sharing between the user and the one or more other users for current content of the shared bundle of emails and future content added to the shared bundle of emails. The shared bundle of emails is displayed inline with other emails of an email mailbox of the user through the user interface.

Abstract: A user can selectively customize what data is provided to a search engine to influence a degree of personalization of search results. Personalized search engine results can thereby be provided to one or more applications on a client device, such as a mobile phone. The data provided to the search engine can include any of a variety of user preferences stored on the client device (e.g., music, music ratings, search queries, search results selected, etc.), or other user information, such as current location or the location of the user when applications were downloaded. Social networking websites can also be used for supplying data to the search engine.