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CUSTOMIZED PREDICTORS FOR USER ACTIONS IN AN ONLINE SYSTEM

  • US 20140156566A1
  • Filed: 11/30/2012
  • Published: 06/05/2014
  • Est. Priority Date: 11/30/2012
  • Status: Active Grant
First Claim
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1. A computer-implemented method comprising:

  • receiving, by an online system, a plurality of requests for generating predictors, each request specifying a type of action performed by users of the online system and criteria for identifying a successful instance of the type of action;

    for each request associated with a type of action, generating, by the online system, a predictor for the type of action, the generating comprising;

    identifying a training data set comprising a plurality of successful instances and a plurality of failure instances of the type of action performed by users of the online system;

    training one or more candidate predictors using the identified data set, wherein each candidate predictor comprises a machine learned model;

    evaluating performance of each candidate predictor by executing each predictor on a test data set comprising a plurality of successful instances and a plurality of failure instances of the type of action performed by users of the online system; and

    selecting a predictor for the type of action by comparing the performance of the one or more candidate predictors; and

    returning a handle corresponding to the generated predictor to a requester of the selected predictor.

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