Patents by Inventor Noa Witztum

Noa Witztum 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).

  • Establishing a communication session between client terminals of users of a social network selected using a machine learning model
    Patent number: 11556851
    Abstract: There is provided a method, comprising: extracting user feature profiles for users of a social network, each feature profile being structured and including user features extracted from unstructured user generated text, indications of participation in groups, and structured user profiles, training a clustering-component of a model to cluster the feature profiles, training a matching-component of the model to compute a distance score indicative of statistical similarity between a feature profile of a target user and features profiles of other users of a same cluster, using a training dataset of pairs of feature profiles extracted from common clusters, each pair assigned a distance score label, providing the model for: identifying a certain cluster of a certain user, and computing distance scores between the feature profile of the certain user and other feature profiles of other users of the certain cluster for selecting one user for establishment of a communication session.
    Type: Grant
    Filed: January 31, 2020
    Date of Patent: January 17, 2023
    Assignee: salesforce.com, inc.
    Inventors: Noa Witztum, Ofer Bachner, Dima Volski
  • ESTABLISHING A COMMUNICATION SESSION BETWEEN CLIENT TERMINALS OF USERS OF A SOCIAL NETWORK SELECTED USING A MACHINE LEARNING MODEL
    Publication number: 20210241163
    Abstract: There is provided a method, comprising: extracting user feature profiles for users of a social network, each feature profile being structured and including user features extracted from unstructured user generated text, indications of participation in groups, and structured user profiles, training a clustering-component of a model to cluster the feature profiles, training a matching-component of the model to compute a distance score indicative of statistical similarity between a feature profile of a target user and features profiles of other users of a same cluster, using a training dataset of pairs of feature profiles extracted from common clusters, each pair assigned a distance score label, providing the model for: identifying a certain cluster of a certain user, and computing distance scores between the feature profile of the certain user and other feature profiles of other users of the certain cluster for selecting one user for establishment of a communication session.
    Type: Application
    Filed: January 31, 2020
    Publication date: August 5, 2021
    Applicant: salesforce.com, inc.
    Inventors: Noa WITZTUM, Ofer Bachner, Dima Volski
  • INTER-ENTITY CONNECTION MAPS
    Publication number: 20150120783
    Abstract: The technology disclosed relates to identifying connection maps between entities (persons and organizations) and generating so-called connection stories between them based on the connection maps. The connection stories are graphic and visual representations of the connection paths that present to entities topological and chronological aspects of their relationships with other entities.
    Type: Application
    Filed: October 28, 2014
    Publication date: April 30, 2015
    Applicant: salesforce.com, inc.
    Inventors: Alon Talmor, Elad Tsur, Amir Cohen, Yaniv Zecharya, Ran Etzion, Yossi Zini, Yair Even-Zohar, Lidor Avigad, Arie Zilberstein, Noa Witztum