- Armonk NY, US Ashok Kumar - Chelmsford MA, US Mary D. Swift - Rochester NY, US Michael D. Whitley - Durham NC, US
International Classification:
H04L 29/08 G06F 16/34 G06Q 50/00 G06Q 10/10
Abstract:
A method, computer program product, and computer system for receiving, by a computing device, a question from a user. A first answer provided by a first subject matter expert is identified. A second answer provided by a second subject matter expert is identified. It is determined that a profile of the user matches a first profile of the first subject matter expert more than a second profile of the second subject matter expert. The first answer provided by the first subject matter expert is sent to the user with a preference over the second answer provided by the second subject matter expert based upon, at least in part, determining that the profile of the user matches the first profile of the first subject matter expert more than the second profile of the second subject matter expert.
Utilizing A Dialectical Model In A Question Answering System
- Armonk NY, US Ashok Kumar - North Chelmsford MA, US Mary D. Swift - Rochester NY, US
International Classification:
G06F 17/27 G06F 17/30 G09B 5/00
Abstract:
A method, system or computer usable program product for utilizing a dialectical model for providing an answer to a user query including receiving, by a system, a natural language query from a user; applying, by the system, natural language processing (NLP) to the query to generate a first set of NLP structures; generating, by the system, a contrary set of NLP structures which represent an opposite polarity query to the user query; evaluating, by the system, the first set of NLP structures to identify a first set of evidence for candidate answers; evaluating, by the system, the contrary set of NLP structures to identify a second set of evidence for candidate answers; evaluating, by the system, a first set of hypotheses from the first set of NLP structures based on the first set of evidence for candidate answers, and a contrary set of hypotheses from the contrary set of NLP structures based on the second set of evidence for candidate answers, to determine a set of answers to the user query; converting, by the system, the set of answers to natural language; and providing the converted set of answers to the user.
Utilizing A Dialectical Model In A Question Answering System
- Armonk NY, US Ashok Kumar - North Chelmsford MA, US Mary D. Swift - Rochester NY, US
International Classification:
G06F 17/27 G09B 7/00
Abstract:
A method, system or computer usable program product for utilizing a dialectical model for providing an answer to a user query including receiving a query from a user; applying NLP to the query to generate a first set of NLP structures; generating a contrary set of NLP structures contrary to the user query; evaluating the first set of NLP structures to identify a first set of evidence; evaluating the contrary set of NLP structures to identify a second set of evidence; evaluating a first set of hypotheses from the first set of NLP structures based by the first and second set of evidence, and a contrary set of hypotheses from the contrary set of NLP structures based by the first and second set of evidence, to determine a set of answers to the user query; and providing the set of answers to the user.
System And Method For Providing More Appropriate Question/Answer Responses Based Upon Profiles
- Armonk NY, US Ashok Kumar - Chelmsford MA, US Mary D. Swift - Rochester NY, US Michael D. Whitley - Durham NC, US
International Classification:
H04L 29/08
Abstract:
A method, computer program product, and computer system for receiving, by a computing device, a question from a user. A first answer provided by a first subject matter expert is identified. A second answer provided by a second subject matter expert is identified. It is determined that a profile of the user matches a first profile of the first subject matter expert more than a second profile of the second subject matter expert. The first answer provided by the first subject matter expert is sent to the user with a preference over the second answer provided by the second subject matter expert based upon, at least in part, determining that the profile of the user matches the first profile of the first subject matter expert more than the second profile of the second subject matter expert.
Travel Itinerary Recommendation Engine Using Inferred Interests And Sentiments
- Armonk NY, US Ashok Kumar - North Chelmsford MA, US Alexander Pikovsky - Lexington MA, US Mary Diane Swift - Rochester NY, US
International Classification:
G06Q 30/06 G06Q 50/14 G06F 17/27 G06Q 10/02
Abstract:
Travel itineraries are automatically prepared based upon user interests and sentiments inferred by deep semantic analysis of user-commented and user-preferred digital works of literature by receiving interests and associated sentiment levels for at least one user according to a deep semantic analysis of a plurality of works of literature, wherein the works of literature have been rated, commented, or both rated and commented by the user; searching repositories of travel items to find one or more matching travel items to the received more interests and associated sentiment levels; and preparing at least one travel itinerary including at least one found matching travel item. Travel itineraries may be prepared responsive to a user-initiated trip planning session, responsive to notification of a new travel item's availability, periodically, or a combination thereof.
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