Patents by Inventor Jason M. Eisner

Jason M. Eisner 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).

  • Publication number: 20130030981
    Abstract: A method of using natural language processing (NLP) techniques to extract information from online news feeds and then using the information so extracted to predict changes in stock prices or volatilities. These predictions can be used to make profitable trading strategies. Company names can be recognized and simple templates describing company actions can be automatically filled using parsing or pattern matching on words in or near the sentence containing the company name. These templates can be clustered into groups which are statistically correlated with changes in the stock prices. The system is composed of two parts: message understanding component that automatically fills in simple templates and a statistical correlation component that tests the correlation of these patterns to increases or decreases in the stock price.
    Type: Application
    Filed: October 5, 2012
    Publication date: January 31, 2013
    Inventors: Frederick S.M. Herz, Lyle H. Ungar, Jason M. Eisner, Walter Paul Labys
  • Patent number: 8285619
    Abstract: A method of using natural language processing (NLP) techniques to extract information from online news feeds and then using the information so extracted to predict changes in stock prices or volatilities. These predictions can be used to make profitable trading strategies. Company names can be recognized and simple templates describing company actions can be automatically filled using parsing or pattern matching on words in or near the sentence containing the company name. These templates can be clustered into groups which are statistically correlated with changes in the stock prices. The system is composed of two parts: message understanding component that automatically fills in simple templates and a statistical correlation component that tests the correlation of these patterns to increases or decreases in the stock price.
    Type: Grant
    Filed: January 22, 2002
    Date of Patent: October 9, 2012
    Assignee: Fred Herz Patents, LLC
    Inventors: Frederick S. M. Herz, Lyle H. Ungar, Jason M. Eisner, Walter Paul Labys
  • Patent number: 7630986
    Abstract: A system for exchanging data includes a communication system, a first and a second party connected to the communication system, wherein each party has personal data, and each party has a disclosure policy to control dissemination of its data, and a secure intermediate party connected to the communication system, wherein the secure intermediate party exchanges data between the first and second parties in accordance with their respective disclosure policies.
    Type: Grant
    Filed: October 27, 2000
    Date of Patent: December 8, 2009
    Assignee: Pinpoint, Incorporated
    Inventors: Frederick S. M. Herz, Walter Paul Labys, David C. Parkes, Sampath Kannan, Jason M. Eisner
  • Publication number: 20090254971
    Abstract: A secure data interchange system enables information about bilateral and multilateral interactions between multiple persistent parties to be exchanged and leveraged within an environment that uses a combination of techniques to control access to information, release of information, and matching of information back to parties. Access to data records can be controlled using an associated price rule. A data owner can specify a price for different types and amounts of information access.
    Type: Application
    Filed: April 3, 2009
    Publication date: October 8, 2009
    Applicant: Pinpoint, Incorporated
    Inventors: Frederick S. M. Herz, Walter Paul Labys, David C. Parkes, Sampath Kannan, Jason M. Eisner
  • Publication number: 20090234878
    Abstract: This invention relates to customized electronic identification of desirable objects, such as news articles, in an electronic media environment, and in particular to a system that automatically constructs both a “target profile” for each target object in the electronic media based, for example, on the frequency with which each word appears in an article relative to its overall frequency of use in all articles, as well as a “target profile interest summary” for each user, which target profile interest summary describes the user's interest level in various types of target objects. The system then evaluates the target profiles against the users' target profile interest summaries to generate a user-customized rank ordered listing of target objects most likely to be of interest to each user so that the user can select from among these potentially relevant target objects, which were automatically selected by this system from the plethora of target objects that are profiled on the electronic media.
    Type: Application
    Filed: February 17, 2009
    Publication date: September 17, 2009
    Applicant: Pinpoint, Incorporated
    Inventors: Frederick S. M. Herz, Jason M. Eisner, Jonathan M. Smith, Steven L. Salzberg
  • Publication number: 20030135445
    Abstract: We present a method of using natural language processing (NLP) techniques to extract information from online news feeds and then using the information so extracted to predict changes in stock prices or volatilities. These predictions can be used to make profitable trading strategies. More specifically, company names can be recognized and simple templates describing company actions can be automatically filled using parsing or pattern matching on words in or near the sentence containing the company name. These templates can be clustered into groups which are statistically correlated with changes in the stock prices.
    Type: Application
    Filed: January 22, 2002
    Publication date: July 17, 2003
    Inventors: Frederick S.M. Herz, Lyle H. Ungar, Jason M. Eisner, Walter Paul Labys
  • Patent number: 5835087
    Abstract: This invention relates to customized electronic identification of desirable objects, such as news articles, in an electronic media environment, and in particular to a system that automatically constructs both a "target profile" for each target object in the electronic media based, for example, on the frequency with which each word appears in an article relative to its overall frequency of use in all articles, as well as a "target profile interest summary" for each user, which target profile interest summary describes the user's interest level in various types of target objects. The system then evaluates the target profiles against the users' target profile interest summaries to generate a user-customized rank ordered listing of target objects most likely to be of interest to each user so that the user can select from among these potentially relevant target objects, which were automatically selected by this system from the plethora of target objects that are profiled on the electronic media.
    Type: Grant
    Filed: October 31, 1995
    Date of Patent: November 10, 1998
    Inventors: Frederick S. M. Herz, Jason M. Eisner, Lyle H. Ungar
  • Patent number: 5754939
    Abstract: This invention relates to customized electronic identification of desirable objects, such as news articles, in an electronic media environment, and in particular to a system that automatically constructs both a "target profile" for each target object in the electronic media based, for example, on the frequency with which each word appears in an article relative to its overall frequency of use in all articles, as well as a "target profile interest summary" for each user, which target profile interest summary describes the user's interest level in various types of target objects. The system then evaluates the target profiles against the users' target profile interest summaries to generate a user-customized rank ordered listing of target objects most likely to be of interest to each user so that the user can select from among these potentially relevant target objects, which were automatically selected by this system from the plethora of target objects that are profiled on the electronic media.
    Type: Grant
    Filed: October 31, 1995
    Date of Patent: May 19, 1998
    Inventors: Frederick S. M. Herz, Jason M. Eisner, Lyle H. Ungar, Mitchell P. Marcus
  • Patent number: 5754938
    Abstract: This invention relates to customized electronic identification of desirable objects, such as news articles, in an electronic media environment, and in particular to a system that automatically constructs both a "target profile" for each target object in the electronic media based, for example, on the frequency with which each word appears in an article relative to its overall frequency of use in all articles, as well as a "target profile interest summary" for each user, which target profile interest summary describes the user's interest level in various types of target objects. The system then evaluates the target profiles against the users' target profile interest summaries to generate a user-customized rank ordered listing of target objects most likely to be of interest to each user so that the user can select from among these potentially relevant target objects, which were automatically selected by this system from the plethora of target objects that are profiled on the electronic media.
    Type: Grant
    Filed: October 31, 1995
    Date of Patent: May 19, 1998
    Inventors: Frederick S. M. Herz, Jason M. Eisner, Marcos Salganicoff