Microsoft Technology Licensing, LLC

Melissa Nicole Lim

Eric J Horvitz

David E Gardner

Margaret Ann Mitchell

Catherine Lynn Maritan

John Charles Krumm

Mary P Czerwinski

Christopher Brian Quirk

Ashish Gupta

Christian James Colando

Lee Dicks Clark

Ran Gilad-Bachrach

Joseph Alton Schrader

Sogol Malekzadeh

Paul B Koch

Ajoy Nandi

Jared Frew

Susan Michele Hendrich

Alice Jane Brush

Shawn Cantin Callegari

Nirav Kamdar

Yuri Dogandjiev

Talon Edward Ireland

Jason T Creighton

Piali Choudhury

Ravikiran Arun Aranke

Deborah Harrison

David Manci Gardner

Terri L Chudzik

Tudor Buzasu Klein

Amol Wankhede

Mangesh Deshpande

Anthony Hugh

Wenyu Lu

Tyler N Jensen

Haronid Moncivais

Renle Xia

Sasanka Madiraju

Chris O'Connor

Ayman Farouq Mohammad Almadhoun

Jason Timothy Creighton

Paul Koch

Catherine L Maritan

Deborah B Harrison

Examples described herein provide a digital assistant crafting a response based on target sentiment identification from user input. The digital assistant receives unstructured data input and identifies a segment of the input that includes a facet item. A sentiment associated with the facet item in the segment is identified and classified to identify a targeted sentiment directed towards the facet item. A response is generated based on the targeted sentiment and the facet item.

Crafting a response based on sentiment identification

A digital assistant supported on devices such as smartphones, tablets, personal computers, game consoles, etc. exposes an updated and enhanced set of alarm functions to improve a device's user wake-up routines by applying automation rules to a variety of collected or sensed data and inputs in a context-aware manner in order to surface user experiences and content that are contextually meaningful and catered to the particular device user. The digital assistant can support an alarm system having network connectivity to other devices and external systems that enables the user to set an alarm and be awoken using a wide variety of stimuli such as sounds, voice, music, lights, and tactile sensations and then be given a summary of the upcoming day using verbal narration and graphical displays on the device.

Intelligent digital assistant alarm system for application collaboration with notification presentation

Examples described herein dynamically personalize a digital assistant for a specific user, creating a personal connection between the digital assistant and the user. The digital assistant accesses user activity and generates queries based on the user activity. The digital assistant facilitates natural language conversations as machine learning sessions between the digital assistant and the user using the one or more queries to learn the user's preferences and receives user input from the user during the learning session in response to the queries. The digital assistant dynamically updates a personalized profile for the user based on the user input during the natural language conversations.

Crafting feedback dialogue with a digital assistant

Embodiments of the disclosure aggregate and present event information relating to a calendar event associated with an application executing on a computing device. In some embodiments, data relating to the calendar event is obtained from a content source that is outside an execution context of the application. The data relating to the calendar event is obtained and/or presented intermittently in a user interface element associated with the application. The content source that is outside the execution context of the application may be within an execution context of one or more other applications, an operating system of the computing device, and/or a web service.

Aggregating and presenting event information

Methods and systems are provided for generating personalized greetings for presentation by a personal digital assistant on a client device. An indication is received from the client device associated with the user that the personal digital assistant has been launched on the client device. User-specific information and contextual information is retrieved by querying a user profile database and one or more services. A personalized greeting engine utilizes the user-specific information, such as user inferences and interests, and the contextual information to generate the personalized greetings for presentation by the digital assistant on the client device.

Providing personalized greetings on a digital assistant

Systems, methods, apparatuses, and computer program products are described for implementing a digital personal assistant. The digital personal assistant is capable of determining that a user has asked a question or made a statement that is intended to engage with a persona of the digital personal assistant. In response to determining that the user has asked such a question or made such a statement, the digital personal assistant provides a response thereto by displaying or playing back a multimedia object associated with a popular culture reference within or by a user interface of the digital personal assistant. Additionally or alternatively, in response to determining that the user has asked such a question or made such a statement, the digital personal assistant provides the response thereto by generating or playing back speech that comprises an impersonation of a voice of a person associated with the popular culture reference.

Leveraging user signals for improved interactions with digital personal assistant

Calendar and scheduling applications organize and display user events and provide event reminders. A method of triggering a reminder includes accessing a reminder which describes an event. An individual associated with the event, other than the user, is identified. A future time is predicted when the user will be within proximity of the individual. A time to trigger the reminder for presentation to the user is determined, such that the time to trigger the reminder occurs in advance of the predicted future time when the user will be within proximity of the individual. Based on a determination that the time for triggering the reminder has occurred, the reminder is triggered to be presented to the user.

Intelligent surfacing of reminders

Growing community of inventors

Seattle, WA, United States of America

Melissa Nicole Lim