Collaborative filtering model having improved predictive performance

  • US 9,355,414 B2
  • Filed: 05/30/2010
  • Issued: 05/31/2016
  • Est. Priority Date: 05/30/2010
  • Status: Expired due to Fees
First Claim
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1. A method comprising:

  • for each first entity of a subset of a plurality of first entities, estimating by a computing device an expected improvement of a predictive performance of a collaborative filtering model constructed from training data including a plurality of ratings of the first entity in relation to the second entities and that has a predictive accuracy resulting from being tested against testing data, if additional ratings of the first entity in relation to a plurality of second entities were obtained, by;

    removing a number of the ratings of the first entity in relation to the second entities from the training data;

    constructing a reduced collaborative filtering model from the training data from which the number of the ratings have been removed;

    testing the reduced collaborative filtering model against the testing data to determine a predictive accuracy thereof;

    determining the expected improvement based on a degradation of the predictive accuracy of the reduced collaborative filtering model compared to the predictive accuracy of the collaborating filtering model;

    selecting by a computing device particular first entities from the subset of the first entities of which to obtain the additional ratings in relation to the second entities, based at least on the expected improvements that have been determined; and

    obtaining a number of the additional ratings of the particular first entities in relation to the second entities based on the number of the ratings that were removed from the training data.

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