Patents by Inventor Tal Rubenczyk

Tal Rubenczyk 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: 11244014
    Abstract: The subject matter discloses a method for exploring the most relevant data items, or pieces of information from data sources of various forms and sizes, using the accumulated formalized and clustered behavior of previous users combined with an effective analysis and learning system. According to some embodiments, users are presented with data items that may interest them and are encouraged to rank these data items in order to improve the system's suggestions. The system may also pose the user a selection of questions, meant to further discern the user's preferences.
    Type: Grant
    Filed: September 21, 2015
    Date of Patent: February 8, 2022
    Inventor: Tal Rubenczyk
  • Patent number: 10027995
    Abstract: The subject matter discloses a system and method for creating content in an evolutionary process derived from genetic algorithms imitating biological natural processes, and for creating new original effective content which is not based only on predefined rules.
    Type: Grant
    Filed: November 29, 2016
    Date of Patent: July 17, 2018
    Assignee: TREEPODIA LTD.
    Inventor: Tal Rubenczyk
  • Publication number: 20170214946
    Abstract: The subject matter discloses a system and method for creating content in an evolutionary process derived from genetic algorithms imitating biological natural processes, and for creating new original effective content which is not based only on predefined rules.
    Type: Application
    Filed: November 29, 2016
    Publication date: July 27, 2017
    Inventor: Tal RUBENCZYK
  • Publication number: 20160098404
    Abstract: The subject matter discloses a method for exploring the most relevant data items, or pieces of information from data sources of various forms and sizes, using the accumulated formalized and clustered behavior of previous users combined with an effective analysis and learning system. According to some embodiments, users are presented with data items that may interest them and are encouraged to rank these data items in order to improve the system's suggestions. The system may also pose the user a selection of questions, meant to further discern the user's preferences.
    Type: Application
    Filed: September 21, 2015
    Publication date: April 7, 2016
    Inventor: TAL RUBENCZYK
  • Publication number: 20040049496
    Abstract: The invention is directed to an interactive method for searching a database to locate desired items, even if the key words used as search criteria are not used to identify the item in the database. Another purpose of this invention is providing a method, which at the same time, reduces the results list based on user's response to a set of questions.
    Type: Application
    Filed: October 20, 2003
    Publication date: March 11, 2004
    Inventors: Tal Rubenczyk, Assaf Roth, Harel Brown, Oren Hod
  • Publication number: 20030217052
    Abstract: An interactive method for searching a database to produce a refined results space, the method comprising: analyzing for search criteria, searching said database using said search criteria to obtain an initial result space, and obtaining user input to restrict said initial results space, thereby to obtain said refined results space. Refining comprises using classifications of the retrieved data items to formulate prompts for the user, asking said user at least one of the formulated prompts and receiving a response thereto; and using responses in conjunction with classification values to exclude some of the results, thereby to provide to the user a subset of the retrieved data items as a query result.
    Type: Application
    Filed: May 14, 2003
    Publication date: November 20, 2003
    Applicant: Celebros Ltd.
    Inventors: Tal Rubenczyk, Nachum Dershowitz, Yaacov Choueka, Michael Flor, Oren Hod, Assaf Roth