Microsoft Technology Licensing, LLC

Graham Lee McMynn

Kameshwar Jayaraman

John D Fan

Michal Krzysztof Piaseczny

Thottam Sriram

Ramanathan Somasundaram

Jessica Anne Alspaugh

Bradley Stevenson

Anupama Janardhan

Zainal Arifin

Tudor Baraboi

Julian Zbogar Smith

Ashish Shrikrishna Malgi

Adam David Harmetz

Quentin Gary Christensen

Carlos David Argott Hernandez

Benjamin Joseph Rinaca

Fan Mao

Patrick Miller

John Nguyen

Luca Bandinelli

Thottam R Sriram

An access token broker is executed within a first iFrame, a fully trusted application is executed in a second iFrame within the first iFrame, and a partially trusted application is executed in a third iFrame within the second iFrame. The partially trusted application may identify the iFrame in which the access token broker is executing and request an access token from the access token broker. The access token broker determines whether the request for the access token is to be granted. If the request is to be granted, the access token broker requests the access token from a hosting application. The hosting application obtains the requested access token from an access token server and provides the access token to the access token broker. The access token broker receives the access token from the hosting application and provides the access token to the partially trusted application.

Securely brokering access tokens to partially trusted code

Technologies are described herein for locating relevant content items across multiple disparate content sources. Query parameters are received from a user interface for defining a query for searching a number of content sources located on multiple, disparate content servers. A native search is executed on each of the content servers based on the received query parameters, and query statistics and other data regarding content items in the content sources matching the query parameters are received. The query statistics are aggregated across the content servers and presented in the user interface. The presentation of the query statistics may be broken out by each content source, by each query phrase segmented from the query, and the like. In addition, a preview of a number of content items matching the query parameters is presented based on the data received.

Locating relevant content items across multiple disparate content sources

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Redmond, WA, United States of America

Graham Lee McMynn