Jason M Eisner

US Patent:

7630986, Dec 8, 2009

Filed:

Oct 27, 2000

Appl. No.:

09/699098

Inventors:

Frederick S. M. Herz - Warrington PA, US
Walter Paul Labys - Salt Lake City UT, US
David C. Parkes - Philadelphia PA, US
Sampath Kannan - Philadelphia PA, US
Jason M. Eisner - Philadelphia PA, US

Assignee:

Pinpoint, Incorporated - Fort Worth TX

International Classification:

G06F 17/30
G06F 15/16

US Classification:

707 10, 707 2, 707 9, 707200, 709217

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.

US Patent:

RE41152, Feb 23, 2010

Filed:

Sep 14, 2001

Appl. No.:

09/952602

Inventors:

Jeffrey C. Reynar - Woodinville WA, US
Fred Herz - Milton WV, US
Jason Eisner - Baltimore MD, US
Lyle Ungar - Philadelphia PA, US

Assignee:

Pinpoint Incorporated - Forth Worth TX

International Classification:

G06F 7/00
G06F 15/00
H03M 7/00

US Classification:

708203, 708212, 341 50, 341 51, 341 87, 341 95, 341106, 35842601, 380217

Abstract:

An adaptive compression technique which is an improvement to Lempel-Ziv (LZ) compression techniques, both as applied for purposes of reducing required storage space and for reducing the transmission time associated with transferring data from point to point. Pre-filled compression dictionaries are utilized to address the problem with prior Lempel-Ziv techniques in which the compression software starts with an empty compression dictionary, whereby little compression is achieved until the dictionary has been filled with sequences common in the data being compressed. In accordance with the invention, the compression dictionary is pre-filled, prior to the beginning of the data compression, with letter sequences, words and/or phrases frequent in the domain from which the data being compressed is drawn. The letter sequences, words, and/or phrases used in the pre-filled compression dictionary may be determined by statistically sampling text data from the same genre of text. Multiple pre-filled dictionaries may be utilized by the compression software at the beginning of the compression process, where the most appropriate dictionary for maximum compression is identified and used to compress the current data.

US Patent:

8285619, Oct 9, 2012

Filed:

Jan 22, 2002

Appl. No.:

10/054057

Inventors:

Frederick S. M. Herz - Warrington PA, US
Lyle H. Ungar - Philadelphia PA, US
Jason M. Eisner - Baltimore MD, US
Walter Paul Labys - Ogden UT, US

Assignee:

Fred Herz Patents, LLC - Milton WV

International Classification:

G06Q 40/00

US Classification:

705 36R

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. The methods can be applied to a broad range of text, including articles in online newspapers such as the Wall Street Journal, financial newsletters, radio &TV transcripts and annual reports. In an enhanced embodiment of the system statistical patterns in Internet usage data and Internet data such as newly released textual information on Web pages are further leveraged.

US Patent:

20010014868, Aug 16, 2001

Filed:

Jul 22, 1998

Appl. No.:

09/120611

Inventors:

FREDERICK HERZ - WARRINGTON PA, US
JASON EISNER - PHILADELPHIA PA, US
LYLE UNGER - PHILADELPHIA PA, US
WALTER PAUL LABYS - PHILADELPHIA PA, US
BERNIE ROEMMELE - QUACKERTOWN PA, US
JON HAYWARD - DOYLESTOWN PA, US

International Classification:

G06F017/60

US Classification:

705/014000, 705/010000, 705/026000

Abstract:

The system for the automatic determination of customized prices and promotions automatically constructs product offers tailored to individual shoppers, or types of shopper, in a way that attempts to maximize the vendor's profits. These offers are represented digitally. They are communicated either to the vendor, who may act on them as desired, or to an on-line computer shopping system that directly makes such offers to shoppers. Largely by tracking the behavior of shoppers, the system accumulates extensive profiles of the shoppers and the offers that they consider. The system can then select, present, price, and promote goods and services in ways that are tailored to an individual consumer. Likely shoppers can be identified, then enticed with the most effective visual and textual advertisements; deals can be offered to them, either on-line or off-line; detailed product information screens can be subtly rearranged from one type of shopper to the next. Furthermore, when a product can be tailored to a particular shopper, a general technique or expert system can offer each consumer an appropriately customized product.

US Patent:

20030005074, Jan 2, 2003

Filed:

Apr 25, 2001

Appl. No.:

09/842477

Inventors:

Frederick Herz - Warrington PA, US
Jonathan Smith - Princeton NJ, US
Paul Labys - Logan UT, US
Jason Eisner - Baltimore MD, US

International Classification:

G06F015/167
H04L012/26

US Classification:

709/216000, 370/229000

Abstract:

A communications method utilizes memory areas to buffer portions of the media streams. These buffer areas are shared by user applications, with the desirable consequence of reducing workload for the server system distributing media to the user (client) applications. The preferred method allows optimal balancing of buffering delays and server loads, as well as optimal choice of buffer contents for the shared memory buffers.

US Patent:

20090234878, Sep 17, 2009

Filed:

Feb 17, 2009

Appl. No.:

12/372435

Inventors:

Frederick S. M. Herz - Warrington PA, US
Jason M. Eisner - Philadelphia PA, US
Jonathan M. Smith - Princeton NJ, US
Steven L. Salzberg - Baltimore MD, US

Assignee:

Pinpoint, Incorporated - Fort Worth TX

International Classification:

G06F 17/30

US Classification:

707102, 707103 X, 707E17055, 707E17059

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. Users' target profile interest summaries can be used to efficiently organize the distribution of information in a large scale system consisting of many users interconnected by means of a communication network. Additionally, a crypto graphically-based pseudonym proxy server is provided to ensure the privacy of a user's target profile interest summary, by giving the user control over the ability of third parties to access this summary and to identify or contact the user.

US Patent:

20090254971, Oct 8, 2009

Filed:

Apr 3, 2009

Appl. No.:

12/417747

Inventors:

Frederick S. M. Herz - Warrington PA, US
Walter Paul Labys - Salt Lake City UT, US
David C. Parkes - Philadelphia PA, US
Sampath Kannan - Philadelphia PA, US
Jason M. Eisner - Baltimore MD, US

Assignee:

Pinpoint, Incorporated - Fort Worth TX

International Classification:

G06F 17/00
G06Q 10/00

US Classification:

726 1, 705 1, 726 26

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.

US Patent:

20130030981, Jan 31, 2013

Filed:

Oct 5, 2012

Appl. No.:

13/646449

Inventors:

Frederick S.M. Herz - Milton WV, US
Lyle H. Ungar - Philadelphia PA, US
Jason M. Eisner - Baltimore MD, US
Walter Paul Labys - Fairfax VA, US

International Classification:

G06Q 40/04

US Classification:

705 37

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. The methods can be applied to a broad range of text, including articles in online newspapers such as the Wall Street Journal, financial newsletters, radio & TV transcripts and annual reports. In an enhanced embodiment of the system statistical patterns in Internet usage data and Internet data such as newly released textual information on Web pages are further leveraged.