Microsoft Technology Licensing, LLC

Colleen Elizabeth Hamilton

Lee Dicks Clark

Robert McKee Howard

Michael John Novak

Brian R Meyers

Shira Weinberg

Haim Somech

Sriram Srinivasan

John Morgan Oslake

Marc Christopher Pottier

Kenneth Martin Tubbs

Shawn Michael Brown

Paul Robert Nash

Uri Barash

John Yovin

Sogol Malekzadeh

Jared Adam Brown

Scott Vernon Fynn

Daniel Escapa

Eddie Fusaro

Shawn Bice

Allison Gallant

Matt Hollingsworth

Sandeep Paruchuri

Chani Ayn Doggett

Robert J Howard, Iii

Kiran Tatapudi

Elizabeth Scoble

Abolade Gbadegesin

Kenneth Lynn Crocker

Thomas Henry Alphin, Iii

Narayan Nevrekar

John Edward Gallardo

Bartosz Henryk Paliswiat

Richa Prasad

Shawn Patrick Henry

Yisheng Yao

Jagannatha Raju Dantuluri

Mahmut Arslan

Karan Singh

One or more techniques and/or systems are provided for surfacing scheduling conflicts and/or for facilitating appointment scheduling based upon conflict detection. A user may maintain user appointment data comprising user appointments (e.g., calendar entries within a work calendar). Because user activity may not be fully reflected in the appointment data (e.g., no calendar entries for routine grocery shopping, soccer practice, etc.), potential conflicts may exist between user appointments and the true availability of the user. Accordingly, user signals (e.g., email(s), location check-ins, etc. associated with soccer practice) may be evaluated to generate a user inferred behavior pattern that may be used to identify a potential conflict with a user appointment (e.g., where the user consents to the gathering and/or use of such user signals). A warning of the potential conflict may be surfaced to the user (e.g., a Tuesday dinner calendar meeting conflicts with routine soccer practice on Tuesday evenings).

Scheduling conflict notification

Methods, systems, and computer program products are provided that enable users to provide explicit declarations that are used to generate recommendations for the users. An explicit declaration is received from a user of a user device. The explicit declaration is configured to influence a subsequent recommendation. The words of the explicit declaration are processed to generate a record. A recommendation rule is generated based on the generated record. The recommendation rule is executed to generate a recommendation for the user. The generated recommendation is provided to the user.

Explicit signals personalized search

Technology related to determining a user engagement with software programs is disclosed. In one example of the disclosed technology, a method can include receiving a plurality of signals indicating states of the computer and a software application executing on the computer. The method can include combining the signals to determine a user engagement with the software application. The method can include storing a user engagement log based on the determined user engagement with the software application.

Determining user engagement with software applications

Techniques are described for obtaining user activity information and navigational mnemonic information. The activity information and navigational mnemonic information can be used to control information presented in displays in a manner that can assist a user in locating an activity using displayed navigational mnemonics. User activity information can include an application identifier and a content identifier. Navigational mnemonic information can include a resource identifier and a relevance identifier. A user can search for activities based on a relationship between a navigational mnemonic and an activity, such as a temporal relationship. Applications can register both activity information and navigational mnemonic information through an interface, and a navigational mnemonic feed service can provide navigation mnemonics that are not directly related to user activity on user computer devices.

Control of displayed activity information using navigational mnemonics

Technology related to an activity feed service is disclosed. In one example of the disclosed technology, a method can include receiving updates to activity streams, where a respective activity stream indicates an engagement of a respective user with applications executing on a respective client device connected to a network. The different activity streams associated with a particular user can be merged to generate a merged activity stream associated with the particular user. The different received activity streams can correspond to different respective client devices. The merged activity stream associated with the particular user can be transmitted over the network.

Activity feed service

Methods, systems, and computer program products are provided that address issues related to data privacy by enabling users to elect various levels of data sharing. A user of a user device is enabled to indicate their comfort level with sharing, transmitting, or otherwise exposing individual activity records (data entities) with respect to various activity categories. The exposure of activity records may be controlled with respect to on-device and off-device components. Furthermore, privacy profiles may be automatically generated for the user, and the privacy profiles may be automatically activated in corresponding situations.

Privacy-based degradation of activity signals and automatic activation of privacy modes

One or more techniques and/or systems are provided for constructing a complementary calendar and/or a shadow calendar. A user may maintain a primary calendar within which the user may schedule user specified tasks and/or meetings, but may inadvertently omit other entries. Accordingly, a complementary calendar may be constructed based upon inferences derived from user signal data (e.g., information used to identify/infer activities of the user, such as social network profile information, messages, temporal information, locational information, documents, etc.). The complementary calendar may be automatically populated with entries corresponding to inferences derived from user signals and/or real-time conditions (e.g., weather, store hours, traffic conditions, etc.). The primary calendar and the complementary calendar may be merged to create a shadow calendar. The complementary calendar and/or the shadow calendar may be displayed to the user and/or may be used to provide dynamic notifications and/or suggestions to the user (e.g. regarding conflicting entries/obligations, etc.).

Complementary and shadow calendars

A computer system provides an automated tool that processes audio data and data about computer operating context to automatically capture information, such as information from conversations and meetings. The computer operating context can include, for example, environmental data sensed, or other contextual information maintained or tracked, by the computer. The audio data and computer operating context are processed by the computer to detect starting conditions for data extraction. After detecting a starting condition, the processor initiates speech processing on the audio information to generate corresponding text data. The processor processes the text data using text filters that define salient patterns in the text data. Such salient patterns can correspond to, for example, tasks to be performed, follow-up appointments and other events, messages to be sent, important points or notes, and the like. Such automatic processing improves user productivity in tracking valuable information from meetings and other conversations.

Automatic capture of information from audio data and computer operating context

A method includes displaying a plurality of user modifiable utilization views of a monitored software application, where each of the plurality of user modifiable utilization views is customizable to fit a domain of analysis by identifying one or more resource types of multiple resource components. Each of the plurality of user modifiable utilization views is displayed in one more graphical user interfaces. The method includes determining a desired ordering of the one or more resource types within a hierarchy of types and filtering one or more details of the multiple resource components to create a customized view. A user can navigate between each of the plurality of user modifiable utilization views to dynamically construct related target analysis views including filtered details across one or more other domains of analysis.

Visualization for resource capacity management

A system is disclosed that includes an interface to receive a resource governance rule applicable to one or more hardware resources supporting a monitored software application. The system includes utilization logic to measure usage of a particular hardware resource by the monitored software application. An available utilization of the particular hardware resource is determined based on the resource governance rule, and a total utilization of the particular hardware resource is also determined. One or more utilization metrics are determined based on historical usage of the particular hardware resource as compared to a governed capacity and a non-governed capacity available to the particular hardware resource. The system also includes recommendation logic to determine a recommended action to be taken with respect to the monitored software application.

Expert system and visualization for multi-server capacity management

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Kirkland, WA, United States of America

Colleen Elizabeth Hamilton