Abstract: Systems and methods for providing personalized answers to a user's query using a learned user vocabulary. A natural-language user interface (NLUI) application tracks input terms in user queries and generates responses that incorporate those input terms. The NLUI application may modify stored response templates or may modify a response generated based on stored response templates, by replacing a template term with an input term that has a common definition.

Abstract: Systems and methods for providing personalized answers to a user's query using a learned user vocabulary. A natural-language user interface (NLUI) application tracks input terms in user queries and generates responses that incorporate those input terms. The NLUI application may modify stored response templates or may modify a response generated based on stored response templates, by replacing a template term with an input term that has a common definition.

Abstract: Systems and methods are described for responding to a search query with a contextually relevant voice output. An illustrative method receives a search query, determines an answer to the search query, identifies a media content reference included in the search query, determines, based on the media content reference, a personality associated with the media content reference, identifies a voice profile of the personality, and generates audio output using the voice profile of the personality, the audio output including the answer to the search query.

Abstract: Systems and methods are described for responding to a search query with a contextually relevant voice output. An illustrative method receives a search query, determines an answer to the search query, identifies a media content reference included in the search query, determines, based on the media content reference, a personality associated with the media content reference, identifies a voice profile of the personality, and generates audio output using the voice profile of the personality, the audio output including the answer to the search query.

Abstract: Systems and methods for providing personalized answers to a user's query using a learned user vocabulary. A natural-language user interface (NLUI) application tracks input terms in user queries and generates responses that incorporate those input terms. The NLUI application may modify stored response templates or may modify a response generated based on stored response templates, by replacing a template term with an input term that has a common definition.

Abstract: Systems and methods arc provided herein for generating summaries of unconsumed portions of an ordered series of media assets, customized for multiple users. A media guidance application may determine that a given media asset of an ordered series is to be collectively consumed by a first user and a second user. A first portion of an ordered series, that both the first user and the second user have not yet consumed, is identified together with a second portion of the ordered series that the first user has consumed but the second user has not yet consumed. A custom summary including a detailed summary of the first portion (e.g., a two minute summary) and less detailed summary of the second portion (e.g., a one minute summary) is generated.

Abstract: Systems and methods are provided herein for generating summaries of unconsumed portions of an ordered series of media assets, customized for multiple users. A media guidance application may determine that a given media asset of an ordered series is to be collectively consumed by a first user and a second user. A first portion of an ordered series, that both the first user and the second user have not yet consumed, is identified together with a second portion of the ordered series that the first user has consumed but the second user has not yet consumed. A custom summary including a detailed summary of the first portion (e.g., a two minute summary) and less detailed summary of the second portion (e.g., a one minute summary) is generated.

Abstract: Systems and methods are described for responding to a search query with a contextually relevant voice output. An illustrative method receives a search query, determines an answer to the search query, identifies a media content reference included in the search query, determines, based on the media content reference, a personality associated with the media content reference, identifies a voice profile of the personality, and generates audio output using the voice profile of the personality, the audio output including the answer to the search query.

Abstract: Systems and methods are described herein for generating query suggestions. The method comprising retrieving a plurality of metadata fields associated with a media asset, generating, based on the retrieved plurality of metadata fields, a plurality of combinations of the metadata fields. For each respective combination of the metadata fields of the plurality of combinations, the method searches a database for media assets that comprise metadata fields matching the respective combination of the metadata fields, and calculates a number media assets that match the respective combination based on the searching. The method selects a combination of the metadata fields of the plurality of combinations with a lowest associated calculated number of matching media assets, creates a suggested query based on the selected combination of metadata fields, and outputs the suggested query.

Abstract: Systems and methods are provided herein for generating summaries of unconsumed portions of an ordered series of media assets, customized for multiple users. A media guidance application may determine that a given media asset of an ordered series is to be collectively consumed by a first user and a second user. A first portion of an ordered series, that both the first user and the second user have not yet consumed, is identified together with a second portion of the ordered series that the first user has consumed but the second user has not yet consumed. A custom summary including a detailed summary of the first portion (e.g., a two minute summary) and less detailed summary of the second portion (e.g., a one minute summary) is generated.