Microsoft Technology Licensing, LLC

Nancy Ellen Jacobs

Jonathan David Perlow

Michael Joseph Hopcroft

Paul R Erickson

Gavin Morris Kelly

Eric S Rockey

Shannon P Talbott

Daniel J Westreich

Zijian Zheng

Pyungchul Kim

Blake Edward Anderson

Mark B Mydland

Reshma Girish Mehta

Simone Maillard

Methods and systems present commands to a user within a software application program by determining the user's context within the application program and automatically presenting in a user interface commands that pertain to the user's current context. When the user's context changes, the context-sensitive commands are automatically removed from the user interface. In one implementation context blocks and context panes are employed to present the commands.

Task-sensitive methods and systems for displaying command sets

The subject disclosure pertains to systems and methods that facilitate monitoring of data collections and related data retrieval systems as well as generating recommendations for enhancing performance and utility of such systems. In aspects, the systems and methods described herein evaluate data retrieval performance by identifying unsuccessful search queries and mapping such queries to appropriate content in a data collection. To facilitate such evaluation, similar queries can be grouped and treated as equivalent. Similarity of queries can be determined based upon search terms. For example, queries whose search terms only vary syntactically can be combined in a group. Such groups can include search information related to multiple users, increasing reliability of recommendations based upon such groups. In further aspects, recommendations for adding content can be generated in conjunction with any mapping recommendations.

Search diagnostics based upon query sets

A search mechanism is evaluated or a relevance model checked using session level and result level diagnostics based on user behavior during a search session with respect to queries entered and user responses to result lists. Tracking occurs of when content desired by a user exists, but is not returned in a search result list when a query is made by the user with intent to find the desired content, when content desired by the user does not exist, when content desired by a user exists, but is not recognized by the user in a result list or is too low in a result list. A user's intent and search context is also taken into consideration when performing search mechanism diagnostics.

Systems and methods for discovery of data that needs improving or authored using user search results diagnostics

The subject invention leverages data logging of responses to diagnostic reports to provide data that can be mined for diagnostic report quality information. Instances of the subject invention provide an initial diagnostic report assessment means to facilitate review by an entity. The entity's responses to the sorted diagnostic reports are logged unobtrusively to create diagnostic report quality data. This data is then analyzed by an analysis means that can then adjust the assessment means to improve its performance. In this manner, the performance of the assessment means is increased while reducing the workload of the entity reviewing the diagnostic reports. Other instances of the subject invention facilitate to increase the performance of a diagnostic report generating means as well. Instances of the subject invention can also employ machine learning techniques to facilitate in analyzing the quality data and/or in assessing the diagnostic reports.

Diagnostic report improvement utilizing unobtrusive workflow logging

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Redmond, WA, United States of America

Nancy Ellen Jacobs