Iri Amirav

Iri Amirav

New York, New York, United States
3K followers 500+ connections

About

Iri Amirav is a successful technology entrepreneur based in New York City who has built…

Activity

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Experience

  • JLL Technologies Graphic

    JLL Technologies

    New York, United States

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    New York, New York, United States

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    Tel Aviv Area, Israel

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    Tel Aviv, Israel

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    Tel Aviv Area, Israel

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    Tel Aviv Area, Israel

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    Tel Aviv

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    Tel Aviv

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    Israel

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    Tel Aviv Area, Israel

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    New York

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Education

  • The City University of New York Graphic

    City University of New York

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    Activities and Societies: Helyn B. Reich Memorial Scholarship, Dean’s List, Gamma Sigma Business Honor Society, Golden Key National Honor Society, Phi Eta Sigma National Honor Society, research Assistant for the Columbia University Institute for Tele-Information.

Patents

  • Method for enhancing the performance of a medical search engine based on semantic analysis and user feedback

    Issued US 20110004588

    Method for enhancing the performance of a medical search engine, including the procedures of generating an inverted index of medical related documents, receiving a medical search query from a user, expanding and augmenting the received medical search query thereby generating an enhanced medical search query, retrieving all the medical related documents in the inverted index which are relevant to the enhanced medical search query, ranking the retrieved medical related documents according to a…

    Method for enhancing the performance of a medical search engine, including the procedures of generating an inverted index of medical related documents, receiving a medical search query from a user, expanding and augmenting the received medical search query thereby generating an enhanced medical search query, retrieving all the medical related documents in the inverted index which are relevant to the enhanced medical search query, ranking the retrieved medical related documents according to a master expression, presenting the ranked retrieved medical related documents to the user, receiving at least one user feedback response from the user to a respective one of the ranked retrieved medical related documents, for each received user feedback response evaluating and storing at least one feature of the respective one of the ranked retrieved medical related documents and modifying the master expression based on the received user feedback response using at least one machine learning algorithm.

    See patent

Languages

  • Hebrew

    Native or bilingual proficiency

  • English

    Native or bilingual proficiency

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