Abstract: An apparatus is provided for selecting an electronic calendar from a plurality of available electronic calendars for saving of an event for a user. The apparatus comprises a data storage storing user-specific inferences pertaining to the user; and a calendar suggestion module. The calendar suggestion module is configured to: apply semantic analysis to an indication of an event received at the apparatus; access the data storage to identify a user-specific inference that is relevant to the received event based on the semantic analysis; and using the relevant user-specific inference, select a calendar from the plurality of calendars to which the event should be stored. A corresponding method and computer program are also provided.

Abstract: Examples are disclosed herein that relate to delivering electronic messages to intended recipients based on detected contextual events. One example provides a computing system, comprising a logic subsystem, and a storage subsystem comprising instructions executable by the logic subsystem to receive an input of a message, store the message in a data store for delivery to an intended recipient, determine contextual information for the message and store the contextual information for the message in the data store, detect a contextual event that matches a triggering condition for delivery of the message based upon the contextual information for the message, and based upon the contextual event matching the triggering condition, send the message to a device associated with the intended recipient.

Abstract: A participant suggestion service receives a user input to create a calendar event, as well as a user input indicative of parameters associated with the calendar event. Context parameters are obtained based upon the input parameters, and can include correlations between the input parameters and potential participants. A set of suggested participants is identified based upon the input parameters and the context parameters. The set of suggested participants is surfaced for interaction by the user.

Abstract: Examples are disclosed herein that relate to delivering electronic messages to intended recipients based on detected contextual events. One example provides a computing system, comprising a logic subsystem, and a storage subsystem comprising instructions executable by the logic subsystem to receive an input of a message, store the message in a data store for delivery to an intended recipient, determine contextual information for the message and store the contextual information for the message in the data store, detect a contextual event that matches a triggering condition for delivery of the message based upon the contextual information for the message, and based upon the contextual event matching the triggering condition, send the message to a device associated with the intended recipient.

Abstract: Various systems and methods for managing impersonated tasks. In an example, the system includes a processor and storage. The processor may cause the processor to identify, in response to input from an input-user, a user generated impersonated task (UGIT) and a task-user from a people graph. The instructions may cause the processor to send the UGIT to a data store for a task-user device in response to a verified communication permission status. The instructions may cause the processor to monitor for an indicator from the task-user device, wherein the indicator corresponds to completion of the UGIT. The processor may also modify a data object corresponding to the UGIT based on the indicator from the task-user device to reflect a completion status and a set of users related to the UGIT to be notified of the completion status. The processor may transmit a digital notification to the set of users.

Abstract: Methods, systems, and computer-readable media for managing event data and exploring the event data in an event database are provided. A data acquisition system may process the event database to remove duplicates and assign event data ranks to the event data. The event data rank may be based on query log data. In turn, a search engine communicatively connected to the event database may generate search results that include the event data. The search engine may receive an event data search request from a user. The event data matching the event data search request is retrieved from the event database and formatted, by the search engine, for display in rank order based on the event data rank, proximity of user location to an event location, and extent of query match in various event fields like title, description, etc.