USPatentGranted
B1

System and method of optimizing social networks and user levels based on prior network interactions

Granted 8 Dec 2009 · no office action yet

Application
11/638,922
filed 14 Dec 2006
Publication
Not published
not published
Patent· this page
US 7,631,053
granted 8 Dec 2009

Life of the patent

7 dated events
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Abstract

An optimization server with associated databases for use in social networks utilizes previous interactions and other factors and parameters to optimize a user\'s level in a social network. The optimization server may be configured to proactively and/or reactively optimize a user\'s level in a social network by selecting previous social network instances, merging data from the selected instances into a single social network data representation, determining the shortest path between originating and recipient nodes in the network, and assigning a default level for the recipient node based on the shortest path. Additional optimization parameters may be applied to increase or decrease the recipient node\'s default network level (within certain optionally established limits for change). Various parameters that may be utilized to optimize the social network may include, but are not limited to, user parameters, content classification, user classification, distribution history, existing FOAF definitions, and other external data.

Claims

19 · 3 independent · depth 2
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19 granted claims

Classifications

4 codes
IPC · International Patent Classification
Section G — Physics
  • G06F12/00
  • G06F15/16
USPC · US Patent Classification
709/218709/217

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Pendency
3.0 y
1,090 days filing → grant
Office actions
0
after a restriction
Responses
0
1 RCE
Examiner
Zarni Maung
art unit 2451 · TC 2400
Citations: 221 back · 0 forward

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