Microsoft Technology Licensing, LLC

Ajitesh Kishore

Sandeep S Sahasrabudhe

Alexander G Gounares

Daniel Yancy Parish

Christopher Hugh Pratley

Brian Patrick Evans

Brian Meek

M Jay Parks

Lewis Charles Levin

Tracy ThuyDuyen Tran

Esther Hsiu-Meng Wang

James Patrick Spotanski

Kiruthika Selvamani

Leland E Hale

Keri Talbot

Erez Kikin-Gil

Gurdeep Singh Pall

Sunil Swami

Adel Shrufi

Sameer S Mahajan

Glen H Anderson

Ling Lu

Jeffrey S Raikes

Carlos Esteban Lopez Rivas

Examples are disclosed that relate to providing transition-related assistance during a presentation. One example provides a method comprising, during a rehearsal of a presentation, receiving content of the presentation. Based on the content received, a transition within the presentation is determined via a machine learning model. During a performance of the presentation, the transition is automatically enacted.

Rehearsal-based presentation assistance

A computing system, including a processor configured to receive a content item. The processor may extract a plurality of content item features from the content item and receive a user request to summarize the content item. The user request may have associated contextual metadata indicating a spatiotemporal context in which the user request is received. Based on the contextual metadata, the processor may determine an estimated distraction level for the user. The processor may select a subset of the plurality of content item features based on the contextual metadata. The processor may generate a content item summary including the subset of the plurality of content item features based at least in part on the estimated distraction level. The processor may convey the content item summary for output on one or more output devices.

Content item summarization with contextual metadata

In a device including a processor and a memory, the memory includes executable instructions that cause the processor to control the device to perform functions of receiving a user input to initiate a conversation session for generating an outline for a writing; generating a voice output asking a question regarding the writing; receiving a voice input from the user responding to the voice output; identifying, based on the received voice input, content of the voice input responding to the voice output; repeating, until a predetermined condition is met, the steps of generating the voice output, receiving the voice input, and identifying the content of the voice input, wherein the question asked via each voice output is generated in response to the content of the voice input responding to the preceding voice output; and generating, based on the content of the voice inputs, the outline for the writing.

Freeform conversation writing assistant

A system (and corresponding method) that employs wiki-type models to consider authoring rather than composition in an application environment is provided. The innovation enables collaborative information and templates to be used to enhance quality, productivity, etc. within a software application environment. These wiki-type models can provide features, functions and benefits related to, but not limited to, general information, auto-fills, formats, schema, conversions, preferences, etc.

User-defined application models

A method and system for implementing a document processor and re-aggregator is described herein. A document is divided into one or more sections and formatting is removed. A condensed document is generated that includes one or more links to the one or more sections. The condensed document is transmitted to a mobile device to be displayed for a user. The user may choose to download one or more of the sections by selecting one or more of the links. Once downloaded, a section may be modified by the user. The one or more modified sections may be transmitted from the mobile device. The one or more modified sections may then be re-aggregated with the unmodified sections to form a revised document.

Document processor and re-aggregator

Embodiments are provided to enable a user to easily and conveniently assign, share, and/or locate characteristic and other information associated with others. In an embodiment, a user can assign, share, and use one or more characterizing tags. A user can use the one or more characterizing tags to characterize a person of interest and/or a relationship or association between the user and the person of interest. A user can also perform searches using one or more characterizing tags to locate others who may be associated with the one or more characterizing tags. Users can also view user profiles including any characterizing tags and/or communicate with others based in part on a characterizing tag. The various embodiments provide a forum for social tagging, allowing a user to apply and use one or more characterizing tags that are associated with a person of interest.

Characteristic tagging

The claimed subject matter provides a system and/or a method that facilitates managing data within an environment. An interface component can receive a role-based model reflective of at least one position within an environment, wherein the environment includes two or more entities within an organized hierarchy. The role-based model can include at least one role assigned to an entity in which the assignment is indicative of the position of the entity within the environment. A role component can provide data access to the entity within the environment in accordance with the role assigned to such entity.

Role/persona based applications

A host securely transmits content to a peripheral thereof. The peripheral has a symmetric key (PK) and a copy of (PK) encrypted according to a public key (PU) of an entity ((PU(PK))). In the method, the host receives (PU(PK)) from the peripheral, and sends (PU(PK)) to the entity. The entity has a private key (PR) corresponding to (PU), applies (PR) to (PU(PK)) to obtain (PK), and sends (PK) back to the host. The host receives (PK) from the entity, encrypts at least a portion of the content according to (PK), and transmits the encrypted content to the peripheral. The peripheral may then decrypt the encrypted content based on (PK). A bind key (BK) encrypted by (PK) ((PK(BK))) may accompany (PU(PK)), where the content is to be encrypted according to (BK). Thus, (PK) is not revealed to the host.

Secure transmission of digital content between a host and a peripheral by way of a digital rights management (DRM) system

A method, system, and apparatus are provided for maintaining user privacy in a knowledge interchange ('KI') system. A user may provide privacy preferences relating to their participation in the KI system. The user may identify specific keywords, noun phrases, and contacts that should not be transmitted to a server computer. The user may also specify whether each keyword, noun phrase, or contact should be public or private. If a public keyword is identified during a search query as being associated with the user, the user's identity will be made available to a seeker If a private keyword is identified during a search query as being associated with the user, the user's identity will not be made available and a brokered communication process between the seeker and the user will be performed.

Method, system, and apparatus for maintaining user privacy in a knowledge interchange system

A method, system, and apparatus are provided for creating a knowledge interchange ('KI') profile for a user that identifies the interests of the user, the individuals with which the user has communicated, and the topics on which the communication with the user was made. In order to create the KI profile, items of interest are gathered at the client computer by monitoring the interaction between a user and programs executing on the client computer. Once the items of interest have been identified, the KI profile is created by performing a social network analysis, an interest analysis, and a noun phrase analysis. Once the KI profile has been created, it may be uploaded to a server computer where it is aggregated with KI profiles created for other users.

Method, system, and apparatus for creating a knowledge interchange profile

A data model models a social network. The data model can be embodied as a person profile schema and a connector profile schema. The person profile schema defines properties of persons in the social network. The connector profile schema defines connectivity properties of persons that connect a searcher to the persons in social network that the searcher desires to find. Query languages can be based on the data model and can be used to express queries of social networks. Queries can be for persons, for connecting persons, or for both.

Querying social networks

A method, system, and apparatus are provided for receiving and responding to knowledge interchange ('KI') queries. KI queries are search queries directed to database of KI profiles. A KI profile identifies the interests of a user, the individuals with which a user has communicated, and the topics on which communication with the user was made. KI profiles are received from a plurality of client computers and stored in a profile database. Out-of-process processing may be performed on the contents of the profile database. Requests may be received to query the profile database. In response to receiving such requests, the received queries may be executed over the profile database to identify search results. The search results may then be returned as a response to the query.

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Kirkland, WA, United States of America

Ajitesh Kishore