Look at doEstimatePreference().
On Fri, Jul 13, 2012 at 5:16 PM, a a <[email protected]> wrote: > Sean > Thanks for your quick reply. > Switching to a Jaccard coefficient based ItemSimilarity already improved > things tremendously. >>You can change the estimation to account for "certainty" in some way. >>For example, you could divide the estimate by the weighted standard >>deviation of that series that was averaged to make the estimate. The >>result is no longer an estimate of a rating, but is probably going to >>give much more sane results. > In order to do this, which part of the code should I change? is it > https://builds.apache.org/job/Mahout-Quality/javadoc/org/apache/mahout/cf/taste/recommender/Recommender.html#estimatePreference%28long,%20long%29 > ?
