Hi, I'm looking to the Recomender documentation, and it looks quite straight-forward to use. I'm using data from an ecommerce website and would like to build a model to suggest products based on past purchases ( not on ratings ). I'd like to be able to compare several options, however, I found no mention of evaluating the performance of the recommender. In my case, the recommendation would be a success if the test user (not present in the learning data and thus used for building the model) actually bought (one of ) the suggested product(s).
Does anyone have suggestions on performance measure for this kind of Recomender? I'm interested in any and all tips! Thanks Raphaël
