# Recommending products to user without rating

I have a data set which consists of users and products purchased by them. But, I don't have any ratings for each of the purchased products.

I am trying to use item-item collaborative filtering recommendation using Apache mahout. But without ratings I am not sure how accurate the recommendation will be.

Is there a way out to to recommend data to users? What I had done till now is provide the purchased item as 1 rating.

As the implicit feedback case is much more common in real life scenarios, than the explicit feedback case, there is a huge amount of literature around it with very sophisticated algorithms. On the other hand, setting $preference=1$ and using an explicit algorithm is not a bad start.