Hello, I have read the "Intro to Cooccurrence Recommenders with Spark" of the Mahout documentation and I have a question regarding the unified recommender query. What does "user's-tags-associated-with-purchases" exactly mean? Does it mean that I have to put tags or itemids?
I understand that the "tags" field of each item document contains the tags of this particular item. Then, what query do it have to write in order to get recommended items using the content-based indicator? On the other hand, how can I use ratings when computing the spark-itemsimilarity? For example, how can I use spark-itemsimilarity to get recommendations in MovieLens dataset (it has ratings, not boolean)? Thank you in advance. Ferran
