Microsoft Technology Licensing, LLC

Benjamin Edward Childs

Nicholas Caldwell

Saliha Azzam

David Claux

Venkat Pradeep Chilakamarri

Fetiye Karabay

Ravi Chandru Shahani

Siarhei Alonichau

Courtney Anne O'Keefe

A user is writing an email or other message. The message is inspected for a predetermined word and for at least one of: a predetermined phrase or a template match. A score is generated if the predetermined phrase or the template match is detected. A suggestion is provided to a user that the message may need an attachment if the predetermined word is detected or if the score is greater than a predetermined score. The inspection may begin when the user begins creating the message, indicates that the message should be sent, or at some point in between. The user may provide feedback that the suggestion is accepted or that the suggestion is rejected.

Forgotten attachment detection

A communication application creates a team mailbox integrating messages from an email repository and documents from a content management store (CMS). The application enables an administrator to define and manage members of the team mailbox with varying privilege status for accessing the team mailbox. Content such as aggregated messages and associated documents are displayed through a unified view to standardize ease of access. The members are enabled to receive messages sent to the team mailbox by others. Policies inherited from email repository, CMS, and/or third party policy providers are enforced within the team mailbox.

Management team mailbox integrating email repository and content management store services

Managing team mailbox integrating email repository and content management store services

Automatically suggesting content, for example, documents, contacts information, tasks, calendar items, and the like, for inclusion into an electronic collaborative workspace is provided. Given a short description of a given project or collaborative workspace, an initial project membership list, and identification of local or external content repositories, content associated with the project or workspace may be retrieved and recommended to one or more users for inclusion into the project or collaborative workspace. Thus, the time and effort required for initially populating an electronic workspace with needed content is dramatically reduced.

Automatic project content suggestion

A user is writing an email or other message. A text processing layer prepares the message for analysis and performs some initial analysis and preparation such as a sentence separator, a 'tokenizer', a 'unique body' identification, and/or possibly other filtering or analysis routines. An analytics layer analyzes the message using a &#x201c;regular expressions&#x201d; analysis, a statistical natural language processing analysis, and/or a template matching analysis. If an attachment is indicated, a suggestion to add an attachment is provided to the user. The analysis may begin when the user begins creating the message, indicates that the message should be sent, or at some point in between. The user may provide feedback that the suggestion is accepted or that the suggestion is rejected.

Architecture that employs adaptive learning algorithms to adapt a data correction tool to user-specific behavior during runtime. The architecture includes a framework for training and measuring adaptive learning algorithms, adapting the current text correction tool codebase, and one or more different adaptive learning algorithms. This enables a text correction system to adapt the behavior of the text correction system to an individual user based on the user's interaction with the data correction system. This also facilitates the testing and improvements in an adaptive learning algorithm at the vendor before shipping in a product to the end-user. This reduces the risk of shipping a feature the precise behavior of which is different for each user.

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Benjamin Edward Childs