Microsoft Technology Licensing, LLC

Eric Wayne Doerr

Brett A Bentsen

Qin Zhang

Ariel Nicolas Gordon

John Michael Thornton

William David Sproule

Karthik G Anbalagan

Sarat Chandra Subramaniam

Jan Thomas Miksovsky

Chunkit Jacky Chan

Scott Robert Ramsby

Alexander Sabo Brodie

Michael H Kim

Sam Franklin Williams, Iii

Eric W Richards

Christian R Lehew

Timothy R O'Connor

Stephen Cole

Bryan P Ferguson

Michael Robert Van Waardhuizen

William Thomas

Christopher Kevin Brownell

Ryan A Kabir

Samuel J Pinson

Mindy C King

Shawn Lee Morrissey

Jonathan Yoder Brenner

Shanjeef Satchithanantham

Aanand Narayanan Pisharathu

Tia Bianca Caldwell

Amy Caryl Nathanson

Jeffrey Z Stride

Robert A Cape

Systems, methods, and computer-readable storage media are provided for discovering and disambiguating identity providers such that user knowledge of appropriate identity providers is minimized. Users are presented with options for selecting appropriate providers only when multiple providers have user profiles matching a user identifier. When users are presented with options for selecting appropriate providers, providers that have user profiles matching the identifier are identified utilizing identity information for the application that utilizes the identity provider for its users rather than information identifying the identity provider itself. Where it is determined that no identity provider has a user profile associated with the user identifier (or where it is determined that a particular identity provider would generally be appropriate to be utilized with the user identifier), the opportunity for users to create an authentication account with one or more identity providers or to retry with a different user identifier is provided.

Discovering and disambiguating identity providers

A global tag for an image is received identifies one or more objects in the image, and a region-specific tag for the image identifies one or more objects in a region of the image. The global tag and the region-specific tag are stored with the image. Displayed, along with the image, is an identifier for each of the one or more objects identified in the global tag, and an identifier for each of the one or more objects identified in the region-specific tag. Different users are able to maintain different names for the same person, allowing the same tag of the image to be used as the basis for displaying the image with different names for the different users. Additionally, the tags can be used as a basis for generating a credits list of people that are included in a compilation of images.

Image tagging user interface

The present invention relates to designating that durations of specific tasks are estimated or tentative. The user can indicate estimated durations by the sheet mode or the dialog mode. Estimated duration characters are symbols of uncertainty, such as '?', that indicate that the duration entries are not fixed and final, but may need to be adjusted in the future. The user can select an option to not display the estimated duration character even though the estimated field for the task is set. The user can also select an option to have new tasks that are created have estimated duration characters until the user chooses to enter a duration value. The program can also filter the task list to display only tasks that have estimated duration characters.

Method and system for visually indicating project task durations are estimated using a single character

Method and system for visually indicating project task durations are estimated using a character

Automatic categorization of a financial transaction based upon a mapping of useful characters from the transaction's description to a financial category. The description of the financial transaction is parsed to identify one or more useful strings of characters. A data file of business names is then searched for a match with the parsed string or strings from the transaction description. The data file is optimized to minimize both lookup times and the size of the data file by representing business-name-to-financial-category mappings using a serialized trie accessed via a memory mapped file. Nodes of the trie having children but no siblings are compressed into dangling nodes. A table of shared suffixes is also used. If a match is found in the business name data file, then the transaction is categorized according to the corresponding business name to financial category mapping. Otherwise, the transaction may be categorized based upon a match found in a database of financial transaction description keywords.

Automatic categorization of financial transactions

A method and system for providing intelligent advice to a user. An architecture is described wherein trigger points are placed in an application program, and an advice engine invoked by the application when a trigger point is reached. The advice engine obtains information such as a user's application data, and uses the data to test it against a number of conditions for that trigger point. For each condition met, the advice engine retrieves an advice template for providing advice corresponding to the condition, and based on information in the template versus display state information, decides whether to queue the advice for subsequent display to the user. A display process displays the queued advice according to a priority setting maintained in the template.

Intelligent advisor system and method

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Redmond, WA, United States of America

Eric Wayne Doerr