Patents by Inventor Raymond J. PLANTE
Raymond J. PLANTE has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
-
Publication number: 20240078586Abstract: In selected embodiments a recommendation generator builds a network of interrelationships between venues, reviewers and users based on their attributes and reviewer and user reviews of the venues. Each interrelationship or link may be positive or negative and may accumulate with other links (or anti-links) to provide nodal links the strength of which are based on commonality of attributes among the linked nodes and/or common preferences that one node, such as a reviewer, expresses for other nodes, such as venues. The links may be first order (based on a direct relationship between, for instance, a reviewer and a venue) or higher order (based on, for instance, the fact that two venue are both liked by a given reviewer). The recommendation engine in certain embodiments determines recommended venues based on user attributes and venue preferences by aggregating the link matrices and determining the venues which are most strongly coupled to the user.Type: ApplicationFiled: May 4, 2023Publication date: March 7, 2024Applicant: NARA LOGICS, INC.Inventors: Nathan R. WILSON, Emily A. HUESKE, Thomas C. COPEMAN, Evan Favermann EISERT, Jana B. EGGERS, Raymond J. PLANTE, Michael D. HOULE
-
Patent number: 11727249Abstract: In selected embodiments a recommendation generator builds a network of interrelationships between venues, reviewers and users based on attributes and reviewer and user reviews of the venues. Each interrelationship or link may be positive or negative and may accumulate with other links (or anti-links) to provide nodal links the strength of which are based on commonality of attributes among the linked nodes and/or common preferences that one node, such as a reviewer, expresses for other nodes, such as venues. The links may be first order (based on a direct relationship between, for instance, a reviewer and a venue) or higher order (based on, for instance, the fact that two venue are both liked by a given reviewer). The recommendation engine in certain embodiments determines recommended venues based on user attributes and venue preferences by aggregating the link matrices and determining the venues which are most strongly coupled to the user.Type: GrantFiled: November 15, 2021Date of Patent: August 15, 2023Assignee: NARA LOGICS, INC.Inventors: Nathan R. Wilson, Sahil Zubair, Denise Ichinco, Raymond J. Plante, Jana B. Eggers
-
Patent number: 11651412Abstract: In selected embodiments a recommendation generator builds a network of interrelationships between venues, reviewers and users based on their attributes and reviewer and user reviews of the venues. Each interrelationship or link may be positive or negative and may accumulate with other links (or anti-links) to provide nodal links the strength of which are based on commonality of attributes among the linked nodes and/or common preferences that one node, such as a reviewer, expresses for other nodes, such as venues. The links may be first order (based on a direct relationship between, for instance, a reviewer and a venue) or higher order (based on, for instance, the fact that two venue are both liked by a given reviewer). The recommendation engine in certain embodiments determines recommended venues based on user attributes and venue preferences by aggregating the link matrices and determining the venues which are most strongly coupled to the user.Type: GrantFiled: October 15, 2019Date of Patent: May 16, 2023Assignee: Nara Logics, Inc.Inventors: Nathan R. Wilson, Emily A. Hueske, Thomas C. Copeman, Evan Favermann Eisert, Jana B. Eggers, Raymond J. Plante, Michael D. Houle
-
Publication number: 20220076098Abstract: In selected embodiments a recommendation generator builds a network of interrelationships between venues, reviewers and users based on attributes and reviewer and user reviews of the venues. Each interrelationship or link may be positive or negative and may accumulate with other links (or anti-links) to provide nodal links the strength of which are based on commonality of attributes among the linked nodes and/or common preferences that one node, such as a reviewer, expresses for other nodes, such as venues. The links may be first order (based on a direct relationship between, for instance, a reviewer and a venue) or higher order (based on, for instance, the fact that two venue are both liked by a given reviewer). The recommendation engine in certain embodiments determines recommended venues based on user attributes and venue preferences by aggregating the link matrices and determining the venues which are most strongly coupled to the user.Type: ApplicationFiled: November 15, 2021Publication date: March 10, 2022Applicant: NARA LOGICS, INC.Inventors: Nathan R. WILSON, Sahil ZUBAIR, Denise ICHINCO, Raymond J. PLANTE, Jana B. EGGERS
-
Publication number: 20210117757Abstract: In selected embodiments a recommendation generator builds a network of interrelationships between venues, reviewers and users based on attributes and reviewer and user reviews of the venues. Each interrelationship or link may be positive or negative and may accumulate with other links (or anti-links) to provide nodal links the strength of which are based on commonality of attributes among the linked nodes and/or common preferences that one node, such as a reviewer, expresses for other nodes, such as venues. The links may be first order (based on a direct relationship between, for instance, a reviewer and a venue) or higher order (based on, for instance, the fact that two venue are both liked by a given reviewer). The recommendation engine in certain embodiments determines recommended venues based on user attributes and venue preferences by aggregating the link matrices and determining the venues which are most strongly coupled to the user.Type: ApplicationFiled: September 28, 2020Publication date: April 22, 2021Applicant: NARA LOGICS, INC.Inventors: Nathan R. WILSON, Sahil ZUBAIR, Denise ICHINCO, Raymond J. PLANTE, Jana B. EGGERS
-
Patent number: 10789526Abstract: In selected embodiments a recommendation generator builds a network of interrelationships between venues, reviewers and users based on attributes and reviewer and user reviews of the venues. Each interrelationship or link may be positive or negative and may accumulate with other links (or anti-links) to provide nodal links the strength of which are based on commonality of attributes among the linked nodes and/or common preferences that one node, such as a reviewer, expresses for other nodes, such as venues. The links may be first order (based on a direct relationship between, for instance, a reviewer and a venue) or higher order (based on, for instance, the fact that two venue are both liked by a given reviewer). The recommendation engine in certain embodiments determines recommended venues based on user attributes and venue preferences by aggregating the link matrices and determining the venues which are most strongly coupled to the user.Type: GrantFiled: January 30, 2017Date of Patent: September 29, 2020Assignee: NARA LOGICS, INC.Inventors: Nathan R. Wilson, Sahil Zubair, Denise Ichinco, Raymond J. Plante, Jana B. Eggers
-
Publication number: 20200184538Abstract: In selected embodiments a recommendation generator builds a network of interrelationships between venues, reviewers and users based on their attributes and reviewer and user reviews of the venues. Each interrelationship or link may be positive or negative and may accumulate with other links (or anti-links) to provide nodal links the strength of which are based on commonality of attributes among the linked nodes and/or common preferences that one node, such as a reviewer, expresses for other nodes, such as venues. The links may be first order (based on a direct relationship between, for instance, a reviewer and a venue) or higher order (based on, for instance, the fact that two venue are both liked by a given reviewer). The recommendation engine in certain embodiments determines recommended venues based on user attributes and venue preferences by aggregating the link matrices and determining the venues which are most strongly coupled to the user.Type: ApplicationFiled: October 15, 2019Publication date: June 11, 2020Applicant: NARA LOGICS, INC.Inventors: Nathan R. WILSON, Emily A. HUESKE, Thomas C. COPEMAN, Evan Favermann EISERT, Jana B. EGGERS, Raymond J. PLANTE, Michael D. HOULE
-
Patent number: 10467677Abstract: In selected embodiments a recommendation generator builds a network of interrelationships between venues, reviewers and users based on their attributes and reviewer and user reviews of the venues. Each interrelationship or link may be positive or negative and may accumulate with other links (or anti-links) to provide nodal links the strength of which are based on commonality of attributes among the linked nodes and/or common preferences that one node, such as a reviewer, expresses for other nodes, such as venues. The links may be first order (based on a direct relationship between, for instance, a reviewer and a venue) or higher order (based on, for instance, the fact that two venue are both liked by a given reviewer). The recommendation engine in certain embodiments determines recommended venues based on user attributes and venue preferences by aggregating the link matrices and determining the venues which are most strongly coupled to the user.Type: GrantFiled: April 15, 2015Date of Patent: November 5, 2019Assignee: Nara Logics, Inc.Inventors: Nathan R. Wilson, Emily A. Hueske, Thomas C. Copeman, Evan Favermann Eisert, Jana B. Eggers, Raymond J. Plante, Michael D. Houle
-
Publication number: 20190286998Abstract: In selected embodiments a recommendation generator builds a network of interrelationships between venues, reviewers and users based on their attributes and reviewer and user reviews of the venues. Each interrelationship or link may be positive or negative and may accumulate with other links (or anti-links) to provide nodal links the strength of which are based on commonality of attributes among the linked nodes and/or common preferences that one node, such as a reviewer, expresses for other nodes, such as venues. The links may be first order (based on a direct relationship between, for instance, a reviewer and a venue) or higher order (based on, for instance, the fact that two venue are both liked by a given reviewer). The recommendation engine in certain embodiments determines recommended venues based on user attributes and venue preferences by aggregating the link matrices and determining the venues which are most strongly coupled to the user.Type: ApplicationFiled: April 15, 2015Publication date: September 19, 2019Applicant: NARA LOGICS, INC.Inventors: Nathan R. Wilson, Emily A. Hueske, Thomas C. Copeman, Evan Favermann Eisert, Jana B. Eggers, Raymond J. Plante, Michael D. Houle
-
Publication number: 20160350834Abstract: A recommendation generator builds a synaptic network of nodes corresponding to items, attributes, and reviews. The synaptic network includes connections between nodes where each connection reflects a strength of an interrelationship between two or more of the nodes. The connection strengths are a function of one or more synaptic learning rules, and recommendation generator determines recommended items to a user based on the connection strengths. Accordingly, the advancements described herein provide for the creation of improved data networks that improves the way data is stored and retrieved, thereby providing faster and more accurate processing of data which enables faster and more accurate searching when presenting recommendations than is possible with traditional network infrastructures. Therefore, the advancements described herein improve existing technological processes in a variety of technical arenas such as data storage, network architecture, forming data relationships and recommendation processing.Type: ApplicationFiled: June 1, 2016Publication date: December 1, 2016Applicant: NARA LOGICS, INC.Inventors: Nathan R. WILSON, Sahil ZUBAIR, Denise ICHINCO, Raymond J. PLANTE, Jana B. EGGERS