Abstract: Techniques for electronic document content bookmarking are disclosed. In one embodiment, a method is disclosed comprising receiving user input indicating selection of a portion of the electronic document, receiving a request to bookmark the selected portion of the electronic document, generating a bookmark card for the selected portion of the electronic document, the bookmark card comprising information identifying the electronic document, the selected portion of the electronic document as bookmarked content and the at least one user-defined information item, receiving, via the computing device, a bookmark view request via the GUI, and causing display of the bookmark view via the GUI in response to the bookmark view request, the bookmark view comprising an entry corresponding to the generated bookmark card and providing the bookmarked content from the generated bookmark card, the bookmark view providing a number of actions selectable by the user in connection with the entry from the bookmark view.

Abstract: One or more computing devices, systems, and/or methods for determining activity patterns based upon user activity and/or performing operations based upon the activity patterns are provided. For example, activity performed using a communication interface associated with a user account may be detected. The activity may be analyzed to determine an activity pattern associated with a first set of conditions. The activity pattern may be stored in a user profile associated with the user account. The user profile may comprise a plurality of activity patterns. Each activity pattern of the plurality of activity patterns may be associated with a set of conditions of a plurality of sets of conditions. It may be determined that the first set of conditions are met. Responsive to determining that the first set of conditions are met, one or more operations associated with the activity pattern may be performed.

Abstract: The disclosed systems and methods provide a novel framework that provides mechanisms for enabling message senders to dictate, control and/or create dynamic immersive content consumption experiences for recipients of their messages. The disclosed framework provides message senders with previously non-existent functionality to control the experience and environment within which their messages are consumed. Conventional systems provide recipients with capabilities to consume messages and/or supplemental content; however, these capabilities are driven and controlled by the hosting messaging platform and/or the third party entity that is availed opportunities to provide supplemental content. The disclosed framework prevents such experiences by providing capabilities to the message sender that involves control not only over the experience of the sender's messages but also control over the experience of the environment in which the messages are consumed by their recipients.

Abstract: One or more computing devices, systems, and/or methods for generating a user-specific transaction interface are provided. In an example, a datastore of a user may be searched for an indication of a potential transaction. The datastore may include an email mailbox and/or a record of web browsing. In response to identifying the potential transaction, the datastore of the user, a partnership datastore and/or a network may be searched for an opportunity associated with the potential transaction. In response to identifying the opportunity associated with the potential transaction, a user-specific transaction interface may be generated. The user-specific transaction interface may include one or more selectable inputs for engaging in a version of the potential transaction. The user-specific transaction interface may be provided for display on a device of the user.

Abstract: In some aspects, the techniques described herein relate to a method including receiving, at a processor, a message from a sender to a user, the message including a content item; predicting, by a processor, a next action of the user based on the message by inputting the content item into a predictive model trained using historical actions performed by the user; generating, by the processor, an augmented content item, the augmented content item generated based on the next action; embedding, by the processor, the augmented content item and the content item into a user interface (UI); and transmitting, by the processor, the UI to a client device of the user.

Abstract: In some aspects, the techniques described herein relate to a method including: identifying, by a processor, an object included in a message addressed to a user; inserting, by the processor, an explicit feedback control in the message, the explicit feedback control associated with the object; delivering, by the processor, the message including the explicit feedback control to a client device of the user; and receiving, by the processor, feedback from the user in response to an interaction of the user with the explicit feedback control.

Abstract: One or more computing devices, systems, and/or methods for generating a user-specific interface are provided. In an example, a user-specific machine learning model, for a user of an email application, may be trained based upon one or more interactions of the user with a device upon which the email application is installed. A determination may be made that an email message has been received by an email account of the user. A user-specific message interface may be generated based upon (i) the trained user-specific machine learning model and (ii) content of the email message. A notification of the email message may be provided for display on the device of the user. In response to the user selecting the notification of the email message, the user-specific interface may be provided for display on the device of the user.

Abstract: The present teaching relates to method, system, medium, and implementations for communication. A communication chain with multiple chain units is used to represent a communication thread involving multiple users. Each chain unit includes first information related to a piece of communication in the communication thread and second information for authenticating a request to access the piece of communication. When a request is received with third information from one of the users to access a specific piece of communication in the communication thread in a corresponding chain unit, the user is authenticated based on the third information and the second information in the chain unit for the specific piece of communication. The requested access is facilitated when the user is authenticated.

Abstract: One or more computing devices, systems, and/or methods for facilitating communications with service providers using disposable email addresses (DEAs) are provided. A first email, associated with a requested service, may be received from an email account. A set of service providers may be determined based upon the requested service. A DEA corresponding to the email account may be generated. A second email, comprising an indication of the DEA, may be generated based upon the first email. The second email may be transmitted to a set of email accounts associated with the set of service providers. Emails received from the set of email accounts that are addressed to the DEA may be transmitted to the email account. Responsive to receiving a request to deactivate the DEA from a device associated with the email account and/or responsive to determining that the requested service is completed, the DEA may be deactivated.

Abstract: A method for presenting personalized content to a user includes receiving user data corresponding to a user having a user profile, the user data including at least one or more messages in a user mailbox and a user web browser history within a network, extracting one or more data tags from the received user data, associated at least one data tag with a message, finding information in the network that corresponds to the associated data tag, generating a notification for the user, the notification including the found information in the network, and outputting the generated notification to a user interface of a device of the user.

Abstract: Techniques for identifying and validating online content items for presentation to users are disclosed. Disclosed systems and methods use a sentiment analyzer to determine a sentiment of a candidate content item and collateral content items identified using keywords associated with the candidate content item, determine a measure of agreement in sentiment using the sentiments determined for the candidate content item and collateral content items, and provide at least a portion of the candidate content item in a display at a client computing device, the display including a consensus belief indicator representing the measure of agreement in sentiment.

Abstract: Devices often receive content items to be saved for later presentation to a user. In some instances, the content of the message is analyzed to retrieve supplemental information from external data sources, such as a map to a location discussed in a message. However, such supplementing often fails to reflect the personal context of the content item to the user, who may not easily recall the associated personal context when the content item is later presented. Instead, for a content item to be saved, a device may evaluate personal data sources to identify the personal context of the content item to the user, and add personal context annotations to a content item record of the saved content item. Later, during a presentation of the content item to the user, the personal context annotations may be included as a reflection of the personal context of the content item to the user.

Abstract: Disclosed are systems and methods for improving interactions with and between computers searching, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The methods and systems analyze digital message content in digital communication systems to automatically identify shared user interest(s), to automatically create computerized relationship matrix data identifying user connections, or relationships, using identified shared user interest(s), and to automatically provide a recommendation using the shared user interest and user relationships formed using the shared user interest.

Abstract: A method for presenting personalized content to a user includes receiving user data corresponding to a user having a user profile, the user data including at least one or more messages in a user mailbox and a user web browser history within a network, extracting one or more data tags from the received user data, associated at least one data tag with a message, finding information in the network that corresponds to the associated data tag, generating a notification for the user, the notification including the found information in the network, and outputting the generated notification to a user interface of a device of the user.

Abstract: One or more computing devices, systems, and/or methods for controlling a graphical user interface using a presentation of messages based upon predicted interactions with the messages are provided. For example, a plurality of messages associated with the messaging account may be received. Interactions with the plurality of messages may be tracked to generate sets of message interactions. The plurality of messages may be analyzed to identify sets of attributes. An expected action model may be generated based upon the sets of message interactions and the sets of attributes. A set of messages associated with the messaging account may be analyzed based upon the expected action model to predict one or more interactions corresponding to one or more potential presentations of the set of messages. A presentation may be selected from the one or more potential presentations. A graphical user interface may be controlled using the presentation.

Abstract: Systems, devices, and methods for automating network account transfers based on predicted inactivity are disclosed.

Abstract: Disclosed are systems and methods for improving interactions with and between computers searching, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The methods and systems analyze digital message content in digital communication systems to automatically identify shared user interest(s), to automatically create computerized relationship matrix data identifying user connections, or relationships, using identified shared user interest(s), and to automatically provide a recommendation using the shared user interest and user relationships formed using the shared user interest.

Abstract: Devices often receive content items to be saved for later presentation to a user. In some instances, the content of the message is analyzed to retrieve supplemental information from external data sources, such as a map to a location discussed in a message. However, such supplementing often fails to reflect the personal context of the content item to the user, who may not easily recall the associated personal context when the content item is later presented. Instead, for a content item to be saved, a device may evaluate personal data sources to identify the personal context of the content item to the user, and add personal context annotations to a content item record of the saved content item. Later, during a presentation of the content item to the user, the personal context annotations may be included as a reflection of the personal context of the content item to the user.

Abstract: A method for presenting personalized content to a user includes receiving user data corresponding to a user having a user profile, the user data including at least one or more messages in a user mailbox and a user web browser history within a network, extracting one or more data tags from the received user data, associated at least one data tag with a message, finding information in the network that corresponds to the associated data tag, generating a notification for the user, the notification including the found information in the network, and outputting the generated notification to a user interface of a device of the user.

Abstract: The present teaching relates to methods, systems, and programming for information retrieval. A search result associated with a search query is obtained and provided to a user. Upon receiving a filtering request from the user, the search result is filtered based on the filtering request to generate an updated search result. The updated search result is provided to the user in response to the filtering request.