Abstract: Systems and methods can suggest applications and/or recipients for a user of a computing device to perform communication. The suggestions can be provided on a user interface for a user to select. A suggestion engine can use historical user interactions that include a recipient, a communication application used to communicate with the recipient, and contextual data to determine which application and/or recipients to suggest. The user interactions may occur in a variety of ways, e.g., after a content object has been selected within a host application, where a communication application is selected thereafter. Multiple models may be used to provide the suggestions, such as a pattern model or a cluster model that uses recent user interactions. As another example, a heuristics model may also be used.

Abstract: Systems and methods can suggest applications and/or recipients for a user of a computing device to perform communication. The suggestions can be provided on a user interface for a user to select. A suggestion engine can use historical user interactions that include a recipient, a communication application used to communicate with the recipient, and contextual data to determine which application and/or recipients to suggest. The user interactions may occur in a variety of ways, e.g., after a content object has been selected within a host application, where a communication application is selected thereafter. Multiple models may be used to provide the suggestions, such as a pattern model or a cluster model that uses recent user interactions. As another example, a heuristics model may also be used.

Abstract: One embodiment provides a system comprising at least one learner application module for receiving feedback data from at least one user via at least one electronic device, about information presented to the users by a presenter. The system further comprises at least one sensor for capturing contextual data associated with the users. The system further comprises a recommendation provider for collecting feedback data and contextual data from each learner application module and each sensor, respectively. The recommendation provider determines at least one personalized recommendation for each user based on the collected data and the presented information.

Abstract: In some embodiments, computer implemented methods, systems, and computer readable media can receive a notification from at least one of a plurality of notification nodes. The notification can be associated with a target user. Information related to the target user can be acquired. Information related to the plurality of notification nodes can be acquired. The plurality of notification nodes can be ranked based on at least one of the information related to the target user or the information related to the plurality of notification nodes. Then one or more notification nodes that satisfy one or more specified ranking criteria can be selected. The notification can be formatted based on at least one of the information related to the target user or information related to the one or more selected notification nodes. The formatted notification can then be transmitted to the one or more selected notification nodes.

Abstract: One embodiment provides a system comprising at least one learner application module for receiving feedback data from at least one user via at least one electronic device, about information presented to the users by a presenter. The system further comprises at least one sensor for capturing contextual data associated with the users. The system further comprises a recommendation provider for collecting feedback data and contextual data from each learner application module and each sensor, respectively. The recommendation provider determines at least one personalized recommendation for each user based on the collected data and the presented information.

Abstract: In some embodiments, computer implemented methods, systems, and computer readable media can receive a notification from at least one of a plurality of notification nodes. The notification can be associated with a target user. Information related to the target user can be acquired. Information related to the plurality of notification nodes can be acquired. The plurality of notification nodes can be ranked based on at least one of the information related to the target user or the information related to the plurality of notification nodes. Then one or more notification nodes that satisfy one or more specified ranking criteria can be selected. The notification can be formatted based on at least one of the information related to the target user or information related to the one or more selected notification nodes. The formatted notification can then be transmitted to the one or more selected notification nodes.