Microsoft Technology Licensing, LLC

Evan Ming Lew

Sandy Wong

Yu-ting Kuo

Erik Bergman

Vivek Garg

Jamie R Cabaccang

Robert David Berg

Christopher Jay Hoorn

Erica L Klein

Kevin Niels Stratvert

Ashmeet Oberoi

Manikandeswaran Janagaraj

Sunny Verma

Arif Saifee

Andranik Kurghinyan

A user is provided with insights into their upcoming day. One or more calendars for the user are identified. The identified calendars are then heuristically analyzed to calculate one or more insights into an upcoming day for the user, and these calculated insights are provided to the user. One or more electronic messages each of which was received by or sent by the user are also identified. The identified electronic messages are then heuristically analyzed to calculate one or more insights into an upcoming day for the user, and these calculated insights are provided to the user. The identified calendars and the identified electronic messages are also heuristically analyzed together to calculate one or more insights into an upcoming day for the user, and these calculated insights are provided to the user.

Providing users with insights into their day

Systems and methods for creating a calendar event on a calendar are presented. In response to a request to create a calendar event on a calendar, a first set of calendar event suggestions are presented to a user on a computing device. In response to a selection of a calendar event suggestion, an attribute corresponding to the selected calendar event suggestion is added to an attribute set. A subsequent set of calendar event suggestions are then presented on the computing device. In response to a selection of a subsequent calendar event suggestion, an attribute corresponding to the subsequent calendar event suggestion is added to an attribute set. A calendar event is created on the calendar according to the attributes in the attribute set in response to an instruction to create the calendar event.

Efficient calendar creation

One or more techniques and/or systems are provided for query suggestion formulation for multi-source queries, for ranking multi-source search results, and/or for exposing contextual launch functionality through multi-source search results of a multi-source search interface. In an example, a query suggestion may be provided for a partial search query based upon an implied content source that corresponds to a search intent of a user (e.g., an intent to view videos, as opposed to images, of houses). In another example, relevancy ranks may be assigned to content sources based upon a content type preference of a user, and search results may be provided from content sources having relevancy rankings above a relevancy threshold. In another example, links to applications and/or execution contexts may be embedded within search results so that applications may be launched into contextually aware states from the search results.

Multi-source search

One or more techniques and/or systems are provided for indexing referenced content and/or for deep content searching. In an example, parent content (e.g., an instant message from a friend about a celebrity) may be evaluated to identify a reference (e.g., a URL) to referenced content hosted by a content source (e.g., a photo shared through a photo sharing service). The referenced content may be acquired from the content source, and may be evaluated to identify a search term that is descriptive of the referenced content (e.g., a name of the celebrity in the photo). The parent content and the referenced content may be indexed into a search index using the search term. In an example, responsive to a search query corresponding to the parent content and/or the search term, the parent content and/or the referenced content may be provided as search results.

Referenced content indexing

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Redmond, WA, United States of America

Evan Ming Lew