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Jeremy L Lizt

from Albany, CA
Age ~49
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Also known as:
Jeremy Lee Lizt
Related to:
Martin A Miller, 63
Connected to:
Karen R Lizurick, 55Kamau M Lizwelicha, 64Jay P Lizyness, 46Francesca Lizza, 84Michael J Lizzadro, 42Felicia Lizzano, 72Richard J Lizzano, 70Christine M Lizzi, 51Devin P Lizzi, 41Paul M Lizzi, 45

Jeremy Lizt Phones & Addresses

  • Albany, CA
  • Oakland, CA
  • Pasadena, CA
  • 22 Alford Rd, West Stockbridge, MA 01266 (413) 232-7867
  • San Francisco, CA
  • Larchmont, NY
  • 1738 Haight St APT 207, San Francisco, CA 94117

Work

Company: Liveramp Aug 2012 Address: San Francisco Bay Area Position: Vp engineering

Education

Degree: High school graduate or higher

Industries

Computer Software

Resumes

Resumes

Jeremy Lizt Photo 1

Vp Of Engineering At Liveramp

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Position:
VP Engineering at LiveRamp, Advisor at POPVOX
Location:
San Francisco Bay Area
Industry:
Computer Software
Work:
LiveRamp - San Francisco Bay Area since Aug 2012
VP Engineering
POPVOX since 2010
Advisor

Publications

Us Patents

Associating User Identities With Different Unique Identifiers

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US Patent:
8131745, Mar 6, 2012
Filed:
Apr 8, 2008
Appl. No.:
12/099748
Inventors:
Auren Hoffman - San Francisco CA, US
Jeremy Lizt - San Francisco CA, US
Vivek Sodera - San Francisco CA, US
Manish Shah - San Francisco CA, US
Assignee:
Rapleaf, Inc. - San Francisco CA
International Classification:
G06F 7/00
G06F 17/30
US Classification:
707766, 707784
Abstract:
A user correlation system uses aggregated data and matching/comparison in order to assign an association score that determines likelihood that unique identifiers are associated with the same user.

Associating User Identities With Different Unique Identifiers

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US Patent:
8620942, Dec 31, 2013
Filed:
Jan 26, 2012
Appl. No.:
13/359228
Inventors:
Auren Hoffman - San Francisco CA, US
Jeremy Lizt - San Francisco CA, US
Vivek Sodera - San Francisco CA, US
Manish Shah - San Francisco CA, US
Assignee:
Liveramp, Inc. - San Francisco CA
International Classification:
G06F 17/30
US Classification:
707766, 707784
Abstract:
A user correlation system uses aggregated data and matching/comparison in order to assign an association score that determines likelihood that unique identifiers are associated with the same user.

Fuzzy Matching Of Text At An Expected Location

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US Patent:
20060282430, Dec 14, 2006
Filed:
Jun 10, 2005
Appl. No.:
11/150070
Inventors:
David Diamond - Mont Vernon NH, US
Michael Rubino - Nashua NH, US
Jeremy Lizt - San Francisco CA, US
International Classification:
G06F 17/30
US Classification:
707006000
Abstract:
A method and system for searching for text in a document. In one embodiment, the method includes comparing a signature of text to be located with a signature of each section of text in the document. A distance from an expected location of the text to be matched is computed and compared to a location of each section of text in the document. An exact match of the signature of text to be located that is nearest to the expected location of the text to be located is sought. If an exact match of the signature is not found at the expected location, a close match to the signature, that is nearest to the expected location, is sought. If the exact match is found, the location of the exact match is identified as the location of the text being searched for. If the exact match is not found, and a close match is identified, the close match is identified as the location of the text being searched for. If a close match is not identified, the search is unsuccessful and the text can be considers as an orphan by the application using the invention.

Collaborative Document Review System

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US Patent:
20060282762, Dec 14, 2006
Filed:
Jun 10, 2005
Appl. No.:
11/150055
Inventors:
David Diamond - Mont Vernon NH, US
Michael Rubino - Nashua NH, US
Jeremy Lizt - San Francisco CA, US
Assignee:
ORACLE INTERNATIONAL CORPORATION - REDWOOD SHORES CA
International Classification:
G06F 17/24
US Classification:
715511000, 715512000
Abstract:
The present invention is directed to collaborative document review. In one embodiment, the method includes creating a review version of an original document and storing the review document in a location that is simultaneously accessible by more than one reviewer, where each reviewer might be in a different location. Each reviewer is able to review at least one section of the review document and annotate, or comment on, the selected section of the review document. Once the annotation is created, the annotation can be posted and be immediately visible to each reviewer. Each reviewer can also provide further comment on any annotation. Annotations made in an earlier version of the review document can be retained and carried over into subsequent versions of the review document.

Hierarchical, Traceable, And Association Reputation Assessment Of Email Domains

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US Patent:
20080126344, May 29, 2008
Filed:
Nov 26, 2007
Appl. No.:
11/945208
Inventors:
Auren Hoffman - San Francisco CA, US
Jeremy Lizt - San Francisco CA, US
Vivek Sodera - San Francisco CA, US
Manish Shah - San Francisco CA, US
Assignee:
Rapleaf, Inc. - San Francisco CA
International Classification:
G06F 17/30
US Classification:
707 5, 707E17014
Abstract:
A reputability analysis system receives a domain assessment request associated with a domain and accesses a database to find a match for the domain. A reputability score is derived according to a hierarchical analysis of a matching domain in the database. Traceability, accountability, and association information associated with the domain assessment request may also be used to adjust the reputability score.

Data Source Attribution System

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US Patent:
20100088313, Apr 8, 2010
Filed:
Sep 4, 2009
Appl. No.:
12/554306
Inventors:
Auren Hoffman - San Francisco CA, US
Manish Shah - San Francisco CA, US
Jeremy Lizt - San Francisco CA, US
Vivek Sodera - San Francisco CA, US
Assignee:
Rapleaf, Inc. - San Francisco CA
International Classification:
G06F 17/30
US Classification:
707733, 707E17108, 707E17005
Abstract:
A data attribution system uses a unique identifier (UID) that uniquely identifies a particular individual. A search is conducted of different data sources and, different types of profile information associated with the UID is extracted from the data sources. The different types of profile information associated with the same UID is aggregated together and displayed in a same screen presentation on a user interface.

Data Source Attribution System

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US Patent:
20150248493, Sep 3, 2015
Filed:
May 14, 2015
Appl. No.:
14/712802
Inventors:
- San Francisco CA, US
Manish SHAH - San Francisco CA, US
Jeremy LIZT - San Francisco CA, US
Vivek SODERA - San Francisco CA, US
Assignee:
LIVERAMP, INC. - San Francisco CA
International Classification:
G06F 17/30
H04L 29/08
Abstract:
A data attribution system uses a unique identifier (UID) that uniquely identifies a particular individual. A search is conducted of different data sources and, different types of profile information associated with the UID is extracted from the data sources. The different types of profile information associated with the same UID is aggregated together and displayed in a same screen presentation on a user interface.

Anonymous Information Management

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US Patent:
20140278972, Sep 18, 2014
Filed:
Mar 15, 2013
Appl. No.:
13/838151
Inventors:
- San Francisco CA, US
Jeremy Lizt - San Francisco CA, US
Travis May - San Francisco CA, US
Assignee:
LiveRamp, Inc. - San Francisco CA
International Classification:
G06Q 30/02
US Classification:
705 1453
Abstract:
An anonymous information system (AIS) maintains privacy for internet users by separating personally identifiable information (PII) and user browser history. The AIS may receive a hashed email address from a publisher website. The AIS system may double hash the email address and discard the hashed email address received from the publisher. The double hashed email address is decoupled from user PII and may be used for tracking the number of unique email addresses provided by the publisher website. The AIS system also may associate the hashed email address with a consumer file. The AIS may hash an entity identifier associated with the consumer file to create a non-reversible anonymous identifier (anonymous ID). The anonymous ID may be associated with segment information in the consumer file that does not contain PII about the user. The AIS may send customized information to users based on the segment information.
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Jeremy L Lizt from Albany, CA, age ~49 Get Report