Microsoft Technology Licensing, LLC

Duncan L Davenport

Marc A Smith

Eric David Brill

Jason Duane Clark

Jesper B Lind

Ricardo Soares Stern

James D Laflen

Dylan Symington

Wensi Xi

Amy L Myhre

Gerrit Erwin Randolph Drapers

Liangxiao Zhu

A computing system in a server environment receives a diagnostic data package, corresponding to a problem, from a client computing system and runs a problem-specific analyzer to generate additional problem-specific data. A root cause for the problem is identified along with a recovery action, based on the diagnostic data package and the additional problem-specific data. The recovery action indicates whether it can be performed by an end user or an administrative user. Communication with the end user and administrative user is controlled based on the recovery action.

Administrative user communication and error recovery

A database development system is provided. The system includes a current-state source representation of a database that can be captured in a model of the database and a metadata component that preserves user intentions describing when a user interacts with the system to perform a refactoring operation (or other code enhancement) for use in subsequent operations by the system. A deployment component is provided that utilizes the preserved user intentions to optimize behavioral upgrades to the system, where simulations can be run against the model to facilitate efficient and automated deployments.

Method of refactoring a running database system

The present invention provides systems and methods that rank search results. Such ranking typically includes determining a relevance of individual search results via one or more feature-based relevance functions. These functions can be tailored to users and/or applications, and typically are based on scoped information (e.g., lexical), digital artifact author related attributes, digital artifact source repository attributes, and/or relationships between features, for example. In addition, relevance functions can be generated via training sets (e.g., machine learning) or initial guesses that are iteratively refined over time. Upon determining relevance, search results can be ordered with respect to one another, based on respective relevances. Additionally, thresholding can be utilized to mitigate returning results likely to be non-relevant to the query, user and/or application.

Systems and methods that rank search results

A wireless programmable user interaction system allows a user to interact with networked services relating to physical objects that have associated machine-readable tags. The system includes a portable interaction device in wireless communication with a local computer network. The portable interaction device includes a portable computing device, such as a hand-held computer, and an associated machine-readable tag reader (e.g., a bar code reader). An interaction system catalog in the portable computing device stores tag format information that correlates the tag identity information with an identity information category and related information. The interaction system catalog can indicate the types of information, interactions, or other computer network services that are available and relevant to the physical object. Upon selection of a desired network service by a user, a functional payload is delivered to the portable computing device over the wireless network connection to be executed. The functional payload may originate from the local network with which the wireless communication takes place or from any payload server located anywhere on the public global computer network.

Wireless programmable user interaction system with machine-readable tags for physical objects

Information is provided about the histories of authors in a computer mediated persistent conversation such as a newsgroup. The information may include any or all of how long an author has been active in the group, in what other newsgroups the author participates, to what other threads of conversation the author contributes, and which other participants the author most often engages in discussion. This information may be obtained as an aggregation of data obtained from the groups or communities automatically. The information about any selected user or group is then made available or otherwise provided to any other users so that they can decide whether the selected user or group is likely to provide helpful or useful information. Also, particular message type indicators may be applied to messages when they are posted by users. The message type indicators may also be obtained as an aggregation of data obtained from the groups or communities automatically.

Growing community of inventors

Redmond, WA, United States of America

Duncan L Davenport