what's the meaning of high precision and very much low recall of a recommender system ?

Question

I have not much knowledge about precision and recall. I have design a recommender system. Its gives me precision value = 0.409 and recall value = 0.067 we know that precision and recall are inversely related though I am not sure about that. Then what about my system??

Its that ok if I can increase precision value and decrease recall value?

Answer 1

Precision is the percentage of your correctness when you choose positive since it depend on you prediction when you choose positive only (Depend on model positive prediction only ) an. In the other side , Recall measure whats you percentage of correctness in the positive Class (i.e in the All positive cases what is the percentage of true decision that the model take).