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STATISTICAL FEATURE ENGINEERING OF USER ATTRIBUTES

  • US 20170262445A1
  • Filed: 03/08/2016
  • Published: 09/14/2017
  • Est. Priority Date: 03/08/2016
  • Status: Active Grant
First Claim
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1. A method comprising:

  • receiving user profile information for a user of a social networking system;

    generating a profile vector associated with a user attribute based on the user profile information, the profile vector comprising profile bin scores for each of two or more attribute bins in a distribution of values of the user attribute, each attribute bin corresponding to a range of values in the distribution of values and each profile bin score indicating how closely the user profile information associated with the user attribute matches attributes characteristic of the ranges corresponding to the two or more attribute bins;

    maintaining a plurality of actions performed by the user in the social networking system;

    generating a behavior vector associated with the user attribute based on the plurality of actions performed by the user, the behavior vector comprising behavior bin scores for the each of the two or more attribute ranges corresponding to the two or more attribute bins for the user attribute, each behavior bin score indicating how closely the plurality of actions performed by the user associated with the user attribute matches attributes characteristic of the ranges corresponding to the two or more attribute bins;

    generating a difference vector based on the difference between the profile vector and the behavior vector, the difference vector comprising difference scores for the each of the two or more attribute ranges corresponding to the two or more attribute bins; and

    training a model configured for providing content to the user of the social networking system based at least in part on the user attribute, the model trained using the difference vector as a feature.

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