Patents by Inventor Arnon Yogev
Arnon Yogev 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).
-
Patent number: 11151664Abstract: A document-oriented search can be executed to generate a set of document results, at least one of the documents associated with at least one potential expert. The document results can be analyzed to produce a list of potential experts. An expertise score for at least one of the potential experts can be calculated based on a content score and a metadata score for the at least one of the potential experts. A confidence score for the potential expert can be calculated based on a diversity-constrained content score and a diversity-constrained metadata score for the at least one of the potential experts, the diversity-constrained content score and the diversity-constrained metadata score calculated using an evidence diversity score for the at least one of the potential experts. A list of experts with associated confidence scores that are above a confidence score threshold can be sent to a client device.Type: GrantFiled: June 10, 2019Date of Patent: October 19, 2021Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Leonid Bolshinsky, Inbal Ronen, Eitan Shapiro, Arnon Yogev
-
Patent number: 11151663Abstract: A document-oriented search can be executed to generate a set of document results, at least one of the documents associated with at least one potential expert. The document results can be analyzed to produce a list of potential experts. An expertise score for at least one of the potential experts can be calculated based on a content score and a metadata score for the at least one of the potential experts. A confidence score for the potential expert can be calculated based on a diversity-constrained content score and a diversity-constrained metadata score for the at least one of the potential experts, the diversity-constrained content score and the diversity-constrained metadata score calculated using an evidence diversity score for the at least one of the potential experts. A list of experts with associated confidence scores that are above a confidence score threshold can be sent to a client device.Type: GrantFiled: November 9, 2018Date of Patent: October 19, 2021Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Leonid Bolshinsky, Inbal Ronen, Eitan Shapiro, Arnon Yogev
-
Publication number: 20190295187Abstract: A document-oriented search can be executed to generate a set of document results, at least one of the documents associated with at least one potential expert. The document results can be analyzed to produce a list of potential experts. An expertise score for at least one of the potential experts can be calculated based on a content score and a metadata score for the at least one of the potential experts. A confidence score for the potential expert can be calculated based on a diversity-constrained content score and a diversity-constrained metadata score for the at least one of the potential experts, the diversity-constrained content score and the diversity-constrained metadata score calculated using an evidence diversity score for the at least one of the potential experts. A list of experts with associated confidence scores that are above a confidence score threshold can be sent to a client device.Type: ApplicationFiled: June 10, 2019Publication date: September 26, 2019Inventors: Leonid Bolshinsky, Inbal Ronen, Eitan Shapiro, Arnon Yogev
-
Patent number: 10319048Abstract: A method includes executing, via a processor, a document-oriented search based on a query in an index of documents to generate a set of document results, each document associated with at least one potential expert. The method includes analyzing the document results to produce a list of potential experts. The method includes calculating an expertise score for each potential expert based on a calculated content score and metadata score for each potential expert. The method includes calculating an evidence diversity score for each potential expert. The method includes calculating a confidence score for each potential expert based on a diversity-constrained content score and a diversity-constrained metadata score for each potential expert. The method includes displaying a list of potential experts with associated confidence scores.Type: GrantFiled: August 27, 2015Date of Patent: June 11, 2019Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Leonid Bolshinsky, Inbal Ronen, Eitan Shapiro, Arnon Yogev
-
Publication number: 20190079936Abstract: A document-oriented search can be executed to generate a set of document results, at least one of the documents associated with at least one potential expert. The document results can be analyzed to produce a list of potential experts. An expertise score for at least one of the potential experts can be calculated based on a content score and a metadata score for the at least one of the potential experts. A confidence score for the potential expert can be calculated based on a diversity-constrained content score and a diversity-constrained metadata score for the at least one of the potential experts, the diversity-constrained content score and the diversity-constrained metadata score calculated using an evidence diversity score for the at least one of the potential experts. A list of experts with associated confidence scores that are above a confidence score threshold can be sent to a client device.Type: ApplicationFiled: November 9, 2018Publication date: March 14, 2019Inventors: Leonid Bolshinsky, Inbal Ronen, Eitan Shapiro, Arnon Yogev
-
Patent number: 10169485Abstract: Software that uses data collected from queries performed on a graph database to dynamically improve graph partitioning. The software performs the following operations: (i) identifying a partitioned graph database including a set of edges and a set of vertices, wherein each vertex of the set of vertices is associated with one or more edges of the set of edges; (ii) determining an edge traversal value for one or more edges of the set of edges, wherein the edge traversal value for a respective edge relates to a number of times that the respective edge is traversed in response to one or more queries of the graph database; and (iii) calculating a first vertex score for a first vertex on a first graph partition, based, at least in part, on the edge traversal value(s) for one or more edges associated with the first vertex.Type: GrantFiled: September 4, 2015Date of Patent: January 1, 2019Assignee: International Business Machines CorporationInventors: Roy Levin, Inbal Ronen, Arnon Yogev
-
Patent number: 10146839Abstract: A method includes executing, via a processor, a document-oriented search based on a query in an index of documents to generate a set of document results, each document associated with at least one potential expert. The method includes analyzing the document results to produce a list of potential experts. The method includes calculating an expertise score for each potential expert based on a calculated content score and metadata score for each potential expert. The method includes calculating an evidence diversity score for each potential expert. The method includes calculating a confidence score for each potential expert based on a diversity-constrained content score and a diversity-constrained metadata score for each potential expert. The method includes displaying a list of potential experts with associated confidence scores.Type: GrantFiled: December 17, 2014Date of Patent: December 4, 2018Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Leonid Bolshinsky, Inbal Ronen, Eitan Shapiro, Arnon Yogev
-
Publication number: 20170068746Abstract: Software that uses data collected from queries performed on a graph database to dynamically improve graph partitioning. The software performs the following operations: (i) identifying a partitioned graph database including a set of edges and a set of vertices, wherein each vertex of the set of vertices is associated with one or more edges of the set of edges; (ii) determining an edge traversal value for one or more edges of the set of edges, wherein the edge traversal value for a respective edge relates to a number of times that the respective edge is traversed in response to one or more queries of the graph database; and (iii) calculating a first vertex score for a first vertex on a first graph partition, based, at least in part, on the edge traversal value(s) for one or more edges associated with the first vertex.Type: ApplicationFiled: September 4, 2015Publication date: March 9, 2017Inventors: Roy Levin, Inbal Ronen, Arnon Yogev
-
Publication number: 20160179805Abstract: Examples of techniques for calculating confidence scores are described herein. A method includes executing, via a processor, a document-oriented search based on a query in an index of documents to generate a set of document results, each document associated with at least one potential expert. The method includes analyzing the document results to produce a list of potential experts. The method includes calculating an expertise score for each potential expert based on a calculated content score and metadata score for each potential expert. The method includes calculating an evidence diversity score for each potential expert. The method includes calculating a confidence score for each potential expert based on a diversity-constrained content score and a diversity-constrained metadata score for each potential expert. The method includes displaying a list of potential experts with associated confidence scores.Type: ApplicationFiled: December 17, 2014Publication date: June 23, 2016Inventors: Leonid Bolshinsky, Inbal Ronen, Eitan Shapiro, Arnon Yogev
-
Publication number: 20160179810Abstract: Examples of techniques for calculating confidence scores are described herein. A method includes executing, via a processor, a document-oriented search based on a query in an index of documents to generate a set of document results, each document associated with at least one potential expert. The method includes analyzing the document results to produce a list of potential experts. The method includes calculating an expertise score for each potential expert based on a calculated content score and metadata score for each potential expert. The method includes calculating an evidence diversity score for each potential expert. The method includes calculating a confidence score for each potential expert based on a diversity-constrained content score and a diversity-constrained metadata score for each potential expert. The method includes displaying a list of potential experts with associated confidence scores.Type: ApplicationFiled: August 27, 2015Publication date: June 23, 2016Inventors: Leonid Bolshinsky, Inbal Ronen, Eitan Shapiro, Arnon Yogev