Patents by Inventor Roni Stern

Roni Stern 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).

  • SYSTEM AND METHOD FOR IDENTIFYING CONTACTS OF A TARGET USER IN A SOCIAL NETWORK
    Publication number: 20210026909
    Abstract: When using Web intelligence (“Webint”) to collect information regarding a target social network user, one of the most valuable pieces of information is the target user's List-Of-Friends (LOF). In some cases, however, the LOF of the target user is not accessible in his profile. Herein are described methods and systems for identifying the LOF of a target user. An analysis system crawls the profiles of social network users, other than the target user, and reconstructs the LOF of the target user from the crawled profiles.
    Type: Application
    Filed: October 13, 2020
    Publication date: January 28, 2021
    Inventors: Rami Puzis, Roni Stern, Lior Rokach, Yuval Elovici, Tal Beja, Ariel Felner, Zahy Bnaya, Liron Samama
  • System and method for identifying contacts of a target user in a social network
    Patent number: 10866998
    Abstract: When using Web intelligence (“Webint”) to collect information regarding a target social network user, one of the most valuable pieces of information is the target user's List-Of-Friends (LOF). In some cases, however, the LOF of the target user is not accessible in his profile. Herein are described methods and systems for identifying the LOF of a target user. An analysis system crawls the profiles of social network users, other than the target user, and reconstructs the LOF of the target user from the crawled profiles.
    Type: Grant
    Filed: March 9, 2017
    Date of Patent: December 15, 2020
    Assignee: VERINT SYSTEMS LTD.
    Inventors: Rami Puzis, Roni Stern, Lior Rokach, Yuval Elovici, Tal Beja, Ariel Felner, Zahy Bnaya, Liron Samama
  • Combined model-based approach and data driven prediction for troubleshooting faults in physical systems
    Patent number: 10621061
    Abstract: A method for diagnosing and troubleshooting failures of components of a physical system with low troubleshooting cost, according to which for each component in the system, a Model-Based Diagnosis (MBD) is used for computing the probability of causing a system failure, based on currently observed system behavior or on knowledge about the system's structure. Then the probability of causing a system failure is computed, based on its age and its survival curves. Then, it is determined whether a faulty component C should be fixed or replaced by minimizing future troubleshooting costs, being the costs of the process of diagnosing and repairing an observed failure.
    Type: Grant
    Filed: November 27, 2017
    Date of Patent: April 14, 2020
    Assignee: B. G. Negev Technologies amd Applications Ltd. at Ben-Gurion University
    Inventors: Meir Kalech, Roni Stern, Netanel Hasidi
  • COMBINED MODEL-BASED APPROACH AND DATA DRIVEN PREDICTION FOR TROUBLESHOOTING FAULTS IN PHYSICAL SYSTEMS
    Publication number: 20180173599
    Abstract: A method for diagnosing and troubleshooting failures of components of a physical system with low troubleshooting cost, according to which for each component in the system, a Model-Based Diagnosis (MBD) is used for computing the probability of causing a system failure, based on currently observed system behavior or on knowledge about the system's structure. Then the probability of causing a system failure is computed, based on its age and its survival curves. Then, it is determined whether a faulty component C should be fixed or replaced by minimizing future troubleshooting costs, being the costs of the process of diagnosing and repairing an observed failure.
    Type: Application
    Filed: November 27, 2017
    Publication date: June 21, 2018
    Inventors: Meir KALECH, Roni STERN, Netanel HASIDI
  • SYSTEM AND METHOD FOR IDENTIFYING CONTACTS OF A TARGET USER IN A SOCIAL NETWORK
    Publication number: 20170300580
    Abstract: When using Web intelligence (“Webint”) to collect information regarding a target social network user, one of the most valuable pieces of information is the target user's List-Of-Friends (LOF). In some cases, however, the LOF of the target user is not accessible in his profile. Herein are described methods and systems for identifying the LOF of a target user. An analysis system crawls the profiles of social network users, other than the target user, and reconstructs the LOF of the target user from the crawled profiles.
    Type: Application
    Filed: March 9, 2017
    Publication date: October 19, 2017
    Inventors: Rami Puzis, Roni Stern, Lior Rokach, Yuval Elovici, Tal Beja, Ariel Felner, Zahy Bnaya, Liron Samama
  • System and method for identifying contacts of a target user in a social network
    Patent number: 9646245
    Abstract: When using Web intelligence (“Webint”) to collect information regarding a target social network user, one of the most valuable pieces of information is the target user's List-Of-Friends (LOF). In some cases, however, the LOF of the target user is not accessible in his profile. Herein are described methods and systems for identifying the LOF of a target user. An analysis system crawls the profiles of social network users, other than the target user, and reconstructs the LOF of the target user from the crawled profiles.
    Type: Grant
    Filed: October 29, 2013
    Date of Patent: May 9, 2017
    Assignee: VERINT SYSTEMS LTD.
    Inventors: Rami Puzis, Roni Stern, Lior Rokach, Yuval Elovici, Tal Beja, Ariel Felner, Zahy Bnaya, Liron Samama
  • SYSTEM AND METHOD FOR IDENTIFYING CONTACTS OF A TARGET USER IN A SOCIAL NETWORK
    Publication number: 20140229406
    Abstract: When using Web intelligence (“Webint”) to collect information regarding a target social network user, one of the most valuable pieces of information is the target user's List-Of-Friends (LOF). In some cases, however, the LOF of the target user is not accessible in his profile. Herein are described methods and systems for identifying the LOF of a target user. An analysis system crawls the profiles of social network users, other than the target user, and reconstructs the LOF of the target user from the crawled profiles.
    Type: Application
    Filed: October 29, 2013
    Publication date: August 14, 2014
    Applicant: Verint Systems Ltd.
    Inventors: Rami Puzis, Roni Stern