Microsoft Technology Licensing, LLC

Igor Dvorkin

Robert L Rounthwaite

Arnd Christian König

Sudip Roy

Ian M Williams

Andrew Shuman

Mark H Schmidt

Manish Kumar

Sreekanth Kannepalli

Robert Hanley

Bonnie Pan

Taft Sandbakken

Agnieszka Girling

RajaniKanth Ageeru

Nishadi Kolonne

Dhruv Sood

Gama Aguilar-Gamez

Farheen Omar

Vihar Tammana

Rajanikanth Ageeru

Emanuel Rosu

Jason Brinkle

Piotr Walaszek

Matthew Tebbs

Julia Syi

Evyenia R KaraEftimoglu

James Mellers

Mark Schmidt

Evyenia R Karaeftimoglu

Non-limiting examples of the present disclosure describe surfacing a representation of digital artifacts for a user. An operation context associated with a user is identified. The operational context may correspond with an electronic document that is accessed through a productivity application. One or more of a plurality of digital artifacts may be identified based on the identified operational context. An exemplary representation of the one or more digital artifacts is surfaced through a user interface. An exemplary user interface may be a user interface of a productivity application, for example, where the electronic document is being accessed through the productivity application. In alternative examples, an exemplary user interface may be associated with a home service that is executed in association with an operating system (OS). In some instances, an operational context may change resulting in an update to an exemplary representation of digital artifacts. Other examples are also described.

Recall service for productivity applications

The described implementations relate to tunable predicate discovery. One implementation is manifest as a method for obtaining a data set and determining anomaly scores for anomalies of an attribute of interest in the data set. The method can also generate a ranked list of predicates based on the anomaly scores and cause at least one of the predicates of the ranked list to be presented.

Performance anomaly diagnosis

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Redmond, WA, United States of America

Igor Dvorkin