You are asking for a smaller and smaller neighborhood around a user. At some point the neighborhood includes no users, for some people -- or, the neighborhood includes no new items. Nothing can be recommended, and so recall drops. Precision and recall tend to go in opposite directions for similar reasons.
On Mon, Feb 4, 2013 at 3:54 PM, Zia mel <ziad.kame...@gmail.com> wrote: > Hi , when selecting Threshold-based neighborhood, as the threshold > increase the precision increase which makes sense. However, the > getReach max provide recommendations for 0.2 users and decrease to > 0.0002 , is that normal? The recall also drops. When using a > fixed-size neighborhood getReach provide much higher results. > > //=== Code used ==== > > UserNeighborhood neighborhood =new > ThresholdUserNeighborhood(thresholdValue, similarity, model); > return new GenericUserBasedRecommender(model, neighborhood, similarity); > > IRStatistics stats = evaluator.evaluate(recommenderBuilder, null, > model, null, 10, GenericRecommenderIRStatsEvaluator.CHOOSE_THRESHOLD, > 1.0); > > stats.getReach() > //=== > > Thanks
