Patents by Inventor HEN SHKEDI

HEN SHKEDI 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).

  • Visually exploring and prioritizing discordant conversations with conversational bots
    Patent number: 10777191
    Abstract: For each intent associated with a feature in a discordant conversation, one or more preceding discordant user utterances and one or more following discordant user utterances are collected. A discordant distribution over terms of the one or more preceding discordant user utterances and the one or more following discordant user utterances is created. For each intent associated with a feature in a non-discordant conversation, one or more preceding non-discordant user utterances and one or more following non-discordant user utterances are collected. A non-discordant distribution over terms of the one or more preceding non-discordant user utterances and the one or more following non-discordant user utterances is created. The discordant and non-discordant distributions are compared and the top-k terms that are most specific to user utterances associated with the corresponding discordance feature using Kullback-Leibler divergence are determined.
    Type: Grant
    Filed: December 30, 2018
    Date of Patent: September 15, 2020
    Assignee: International Business Machines Corporation
    Inventors: Michal Shmueli-Scheuer, Ora Peled Nakash, Tommy Sandbank, David Konopnicki, Mordechai Taitelman, Hen Shkedi
  • VISUALLY EXPLORING AND PRIORITIZING DISCORDANT CONVERSATIONS WITH CONVERSATIONAL BOTS
    Publication number: 20200211536
    Abstract: For each intent associated with a feature in a discordant conversation, one or more preceding discordant user utterances and one or more following discordant user utterances are collected. A discordant distribution over terms of the one or more preceding discordant user utterances and the one or more following discordant user utterances is created. For each intent associated with a feature in a non-discordant conversation, one or more preceding non-discordant user utterances and one or more following non-discordant user utterances are collected. A non-discordant distribution over terms of the one or more preceding non-discordant user utterances and the one or more following non-discordant user utterances is created. The discordant and non-discordant distributions are compared and the top-k terms that are most specific to user utterances associated with the corresponding discordance feature using Kullback-Leibler divergence are determined.
    Type: Application
    Filed: December 30, 2018
    Publication date: July 2, 2020
    Inventors: MICHAL SHMUELI-SCHEUER, ORA PELED NAKASH, TOMMY SANDBANK, DAVID KONOPNICKI, MORDECHAI TAITELMAN, HEN SHKEDI