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Paul Matthew Hernacki

from Rochester, MI
Age ~50
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Also known as:
Paul M Hernacki, Paul E Hernacki, Paul Herack, Paul I
Related to:
Helen C VentulettKatherine Hernacki, 51Alexander Hernacki, 25Richard J Thibeau, 27
Connected to:
Linda M Hernacki, 77Rebecca A Hernacki, 34Abelardo Hernadez, 58Elvira Hernadez, 88Emmanuel Hernadez, 37Erick HernadezHilario Hernadez, 76Leo Hernadez, 55Leslie Hernadez, 51Mari D Hernadez, 60

Paul Hernacki Phones & Addresses

  • Rochester, MI
  • Lake Orion, MI
  • 1141 Biltmore Dr NE, Atlanta, GA 30329 (404) 320-9018
  • 33 Spence Ave, Atlanta, GA 30317 (404) 370-9891
  • Okemos, MI
  • Sterling Heights, MI

Business Records

Name / Title
Company / Classification
Phones & Addresses
Paul Hernacki
Chief Technology Officer
Definition6
2115 Monroe Dr STE 100, Atlanta, GA 30324
(404) 870-0323, (404) 870-0325

Publications

Us Patents

Searching, Sorting, And Displaying Video Clips And Sound Files By Relevance

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US Patent:
20090313236, Dec 17, 2009
Filed:
Jun 13, 2008
Appl. No.:
12/138770
Inventors:
Paul Matthew Hernacki - Atlanta GA, US
Gregory Alton Peters - Atlanta GA, US
Assignee:
NEWS DISTRIBUTION NETWORK, INC. - Atlanta GA
International Classification:
G06F 7/06
G06F 17/30
G06F 17/10
US Classification:
707 5, 708523, 707E17017, 707E17108
Abstract:
A documents database has a plurality of documents, including but not limited to text files, video clips and sound files. Each document is associated with at least one category of a plurality of categories in a categories database, and each category has at least one keyword. A search request having at least one search term is received from a user, and a categories database is searched for categories having a keyword corresponding to the user search term to identify first level categories. The other keywords from the identified first level categories are retrieved and the documents database is searched for documents having a user search term or a retrieved keyword. The identified documents are then ranked and presented to the user. Other search expansion techniques, and display techniques, are also discussed.

Searching, Sorting, And Displaying Video Clips And Sound Files By Relevance

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US Patent:
20130138624, May 30, 2013
Filed:
Jan 29, 2013
Appl. No.:
13/752929
Inventors:
Paul Matthew Hernacki - Atlanta GA, US
Assignee:
NEWS DISTRIBUTION NETWORK, INC. - Atlanta GA
International Classification:
G06F 17/30
US Classification:
707706
Abstract:
A documents database has a plurality of documents, including but not limited to text files, video clips and sound files. Each document is associated with at least one category of a plurality of categories in a categories database, and each category has at least one keyword. A search request having at least one search term is received from a user, and a categories database is searched for categories having a keyword corresponding to the user search term to identify first level categories. The other keywords from the identified first level categories are retrieved and the documents database is searched for documents having a user search term or a retrieved keyword. The identified documents are then ranked and presented to the user. Other search expansion techniques, and display techniques, are also discussed.

Searching, Sorting, And Displaying Video Clips And Sound Files By Relevance

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US Patent:
20130138640, May 30, 2013
Filed:
Jan 29, 2013
Appl. No.:
13/752873
Inventors:
Paul Matthew Hernacki - Atlanta GA, US
Assignee:
NEWS DISTRIBUTION NETWORK, INC. - Atlanta GA
International Classification:
G06F 17/30
US Classification:
707728
Abstract:
A documents database has a plurality of documents, including but not limited to text files, video clips and sound files. Each document is associated with at least one category of a plurality of categories in a categories database, and each category has at least one keyword. A search request having at least one search term is received from a user, and a categories database is searched for categories having a keyword corresponding to the user search term to identify first level categories. The other keywords from the identified first level categories are retrieved and the documents database is searched for documents having a user search term or a retrieved keyword. The identified documents are then ranked and presented to the user. Other search expansion techniques, and display techniques, are also discussed.

Searching, Sorting, And Displaying Video Clips And Sound Files By Relevance

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US Patent:
20130144856, Jun 6, 2013
Filed:
Jan 29, 2013
Appl. No.:
13/752913
Inventors:
Paul Matthew Hernacki - Atlanta GA, US
Assignee:
NEWS DISTRIBUTION NETWORK, INC. - Atlanta GA
International Classification:
G06F 17/30
US Classification:
707706
Abstract:
A documents database has a plurality of documents, including but not limited to text files, video clips and sound files. Each document is associated with at least one category of a plurality of categories in a categories database, and each category has at least one keyword. A search request having at least one search term is received from a user, and a categories database is searched for categories having a keyword corresponding to the user search term to identify first level categories. The other keywords from the identified first level categories are retrieved and the documents database is searched for documents having a user search term or a retrieved keyword. The identified documents are then ranked and presented to the user. Other search expansion techniques, and display techniques, are also discussed.

Searching, Sorting, And Displaying Video Clips And Sound Files By Relevance

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US Patent:
20130191362, Jul 25, 2013
Filed:
Jan 29, 2013
Appl. No.:
13/752890
Inventors:
Paul Matthew Hernacki - Atlanta GA, US
Assignee:
NEWS DISTRIBUTION NETWORK, INC. - Atlanta GA
International Classification:
G06F 17/30
US Classification:
707706, 707727, 707725
Abstract:
A documents database has a plurality of documents, including but not limited to text files, video clips and sound files. Each document is associated with at least one category of a plurality of categories in a categories database, and each category has at least one keyword. A search request having at least one search term is received from a user, and a categories database is searched for categories having a keyword corresponding to the user search term to identify first level categories. The other keywords from the identified first level categories are retrieved and the documents database is searched for documents having a user search term or a retrieved keyword. The identified documents are then ranked and presented to the user. Other search expansion techniques, and display techniques, are also discussed.
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Paul Matthew Hernacki from Rochester, MI, age ~50 Get Report