Microsoft Technology Licensing, LLC

Tulasi Menon

Vipindeep Vangala

Nishchay Kumar

Madan Gopal Jhanwar

Nitin Pande

Suryanarayana Shastri

Swati Valecha

Joseph Spencer King

Lisa Joy Stifelman

Alice Jane Bernheim Brush

Eric Neal Loewenthal

A computerized personal assistant communicatively couples to a computer database including a plurality of available skills for the computerized personal assistant. The computerized personal assistant recognizes a current context of the user. The computerized personal assistant operates a previously-trained machine learning classifier to assess a match confidence for a candidate skill, the match confidence indicating a quality of match between the current context and a reference context previously associated with the candidate skill. The computerized personal assistant executes instructions defining an assistive action associated with the candidate skill responsive to the match confidence exceeding a predefined match confidence threshold. The computerized personal assistant executes the instructions defining a complementary help action associated with the candidate skill responsive to the match confidence not exceeding the predefined match confidence threshold.

Skill discovery for computerized personal assistant

Providing a random factoid in response to a user trigger is provided. Aspects are directed to a device, method, and computer-readable medium to provide random factoids responsive to a triggering event. Various inputs such as user taps, gestures, voice commands, environment commands, etc., are monitored to recognize a triggering event associated with the random factoid system. Upon determining that the input is a triggering event, a random factoid is randomly selected and provided to the user. The factoid can be a fun fact or a helpful learning tip. In some examples, the random factoid system provides a contextual random factoid based one or more contextual factors, such as geographic location of the device, the user's interaction history, the user's demographic data, etc., thus providing an improved user experience.

Random factoid generation

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Hyderabad Telangana, India

Tulasi Menon