Patents by Inventor Yuri Putivsky

Yuri Putivsky 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).

  • Ranking of objects using semantic and nonsemantic features in a system and method for conducting a search
    Patent number: 7809721
    Abstract: The invention provides for a system for ranking data including a first calculation component that calculates a qualitative semantic similarity score of at least one data entry from at least one data source, a second calculation component that calculates a general quantitative score of the at least one data entry from at least one data source, a third calculation component that combines the qualitative semantic similarity score and the general quantitative score of the at least one data entry from at least one data source into a vector score for the at least one data entry, and a ranking component that ranks the at least one data entry among other data entries using the vector score. General qualitative scores such as distance scores are never overruled by semantic scores.
    Type: Grant
    Filed: November 16, 2007
    Date of Patent: October 5, 2010
    Assignee: IAC Search & Media, Inc.
    Inventors: Yuri Putivsky, Oleg S. Kislyuk, Anton V. Jouline
  • SEARCH SYSTEM AND METHOD FOR CONDUCTING A LOCAL SEARCH
    Publication number: 20090132512
    Abstract: The invention provides a system for searching data including an online query processing system, a ranking system, an offline data processing component, and a backend search engine.
    Type: Application
    Filed: November 16, 2007
    Publication date: May 21, 2009
    Applicant: IAC Search & Media, Inc.
    Inventors: Oleg S. Kislyuk, Aaron Kameron McKee, Stefano Vegnaduzzo, Yuri Putivsky, Anton V. Jouline, Yue Rona Yang
  • RANKING OF OBJECTS USING SEMANTIC AND NONSEMANTIC FEATURES IN A SYSTEM AND METHOD FOR CONDUCTING A SEARCH
    Publication number: 20090132468
    Abstract: The invention provides for a system for ranking data including a first calculation component that calculates a qualitative semantic similarity score of at least one data entry from at least one data source, a second calculation component that calculates a general quantitative score of the at least one data entry from at least one data source, a third calculation component that combines the qualitative semantic similarity score and the general quantitative score of the at least one data entry from at least one data source into a vector score for the at least one data entry, and a ranking component that ranks the at least one data entry among other data entries using the vector score. General qualitative scores such as distance scores are never overruled by semantic scores.
    Type: Application
    Filed: November 16, 2007
    Publication date: May 21, 2009
    Applicant: IAC Search & Media, Inc.
    Inventors: Yuri Putivsky, Oleg S. Kislyuk, Anton V. Jouline
  • SELECTION OR RELIABLE KEY WORDS FROM UNRELIABLE SOURCES IN A SYSTEM AND METHOD FOR CONDUCTING A SEARCH
    Publication number: 20090132236
    Abstract: The invention provides for a system to select data including a reception component that receives at least one data entry from at least one data source, a processor component to determine the entropy of a word extracted from the at least one data entry, a filtering component to select reliable words, wherein reliable words are words with low entropy values, the filtering component further excluding words with high entropy values, and a transmission component to output a set of reliable words, wherein the set of reliable words is associated with the at least one data entry from which the reliable words were extracted.
    Type: Application
    Filed: November 16, 2007
    Publication date: May 21, 2009
    Applicant: IAC Search & Media, Inc.
    Inventors: Oleg S. Kislyuk, Aaron Kameron McKee, Yuri Putivsky, Stefano Vegnaduzzo