Microsoft Technology Licensing, LLC

Other

Nirav Kamdar

Vipindeep Vangala

Ravikiran Arun Aranke

Kurumaddali Venkata Madhu Sravanth

Melissa Nicole Lim

Talon Edward Ireland

Govind Saoji

Justin Varacheril George

John Michael Guthmann

Catherine Lynn Maritan

Prashant Raj Bhugra

Sasanka Madiraju

Ayman Farouq Mohammad Almadhoun

Tudor Buzasu Klein

Rohit Mani

Aspects of the technology described herein provide a more efficient user interface by providing suggestions that are tailored to a specific user's interests. The suggestions may be provided by a personal assistant or some other application running on a user's computing device. A goal of the technology described herein is to provide relevant suggestions when the user can and actually wants to use them. The suggestions are designed to provide information or services the user wants to use.

Personalized contextual suggestion engine

Aspects of the technology described herein provide a more efficient user interface by providing coupons that are tailored to a specific user's interests. The coupons may be provided by a personal assistant or some other application running on a user's computing device. A goal of the technology described herein is to provide relevant coupons when the user can and actually wants to use them. The coupons are designed for goods or services the user intends to purchase.

Personalized contextual coupon engine

Methods and systems are provided for automatically generating a dynamic taskline. Initially, sources are accessed to retrieve contextual information associated with a user. From this contextual information, a user task is detected that comprises subtasks. Subtasks are identified, where the subtasks are associated with the user task. The subtasks are ranked based, in part, on the contextual information associated with the user. A taskline is automatically generated based on the ranking of the subtasks. The taskline is dynamically modified based on a particular point in time or updated contextual information associated with the user, to constantly provide the user with relevant and useful information.

Automatic creation and maintenance of a taskline

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

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Hyderabad Telangana, India

Nirav Kamdar