I suppose no pruning is better in the sense that you don't throw out data. It's just that it takes more processing and at some scale that's an issue.
On Thu, Sep 20, 2012 at 3:35 PM, Davide Pozza <[email protected]> wrote: > Hello Sebastian > > thanks for the reply. > > After adding the GenericBooleanPrefItemBasedRecommender instead of > the GenericItemBasedRecommender I obtain the following results: > > FIRST > RecommendedItem[item:4140, value:2.7275915] > RecommendedItem[item:3982, value:2.7191503] > RecommendedItem[item:1377, value:2.7180452] > RecommendedItem[item:2706, value:2.7041116] > RecommendedItem[item:4010, value:2.702695] > ----------------- > > SECOND > RecommendedItem[item:4140, value:4.4948235] > RecommendedItem[item:2108, value:4.3325663] > RecommendedItem[item:1968, value:4.330123] > RecommendedItem[item:2835, value:4.3260937] > RecommendedItem[item:2902, value:4.3107653] > > Could the difference be due to the pruning you're talking about? > If so which of the two implementation do you think could be considered > better? > > Thanks again > > Davide
