Microsoft Technology Licensing, LLC

Mark Alan Mullins

Yu Meng Li

Benjamin Edward Rampson

Andrew Grey Carlson

Mashuri R Libman

Jack Kabat

Nickolas Dwayne Welton

Serguei Martchenko

Srivalli Chavali

Leif Christian Brenne

Richard Wesley Holley

Steven Paul Kraynak

Venkata Srinivas Irava

Technologies are described herein for providing query suggestions. In order to provide a query suggestion, access may be detected at a data source. An initial query suggestion for a query of the data source may then be identified based, at least in part, on non-query data. The initial query suggestion may then be returned for display in a user-interface (UI) element. Additional query suggestions might also be provided based upon non-query data in response to a modification of the query.

Query suggestions

Spreadsheets include cells arranged in rows and columns and various formulas contained within one or more of the cells. Systems and methods are provided for identifying and utilizing functionally unique formulas within the spreadsheets, as well as corresponding unique formula sets. Unique formula sets are identified by determining one or more arrangements of rectangular ranges of contiguous cells that contain the functionally unique formulas. The unique formula sets can be marked for subsequent reference and can be highlighted for visual inspection.

Finding unique formula sets in spreadsheets

A policy tip or end user notification is provided for data loss prevention in collaborative environments. A document interactivity application detects an action or trigger by an end user that affects a document. The document is processed, through a classification engine and a unified policy engine, with policies based on the action to detect a matched policy. A policy tip associated with the matched policy is identified and displayed on the display device in association with the document.

Providing policy tips for data loss prevention in collaborative environments

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Sammamish, WA, United States of America

Mark Alan Mullins