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System and method for implementing advertising in an online social network

  • US 20090112701A1
  • Filed: 09/09/2008
  • Published: 04/30/2009
  • Est. Priority Date: 02/01/2007
  • Status: Abandoned Application
First Claim
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1. A method for filtering through a plurality of online users using psychographic data obtained from related user profiles within an online social network, in order to identify online users with similar behavioral interests, comprising the steps of:

  • obtaining psychographic data from each user profile;

    generating a list of psychographic categories;

    generating a list of keywords associated with each psychographic category;

    generating a list of website addresses related to the psychographic categories;

    searching through a webpage associated with each website address from the website list using the keyword list;

    generating a matrix comprising keywords found, a frequency of each keyword found, and website addresses having the keywords;

    applying a clustering algorithm to the matrix to generate a plurality of keyword clusters, wherein each keyword cluster represents a group of webpages that are statistically similar to each other based on the keywords each webpage contains;

    assigning each keyword cluster to a first psychographic category from the category list;

    searching through the user profiles using the plurality of keyword clusters; and

    assigning each user profile to a second psychographic category from the category list.

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