Here is a link to a simple white paper http://www.contentwise.tv/files/Do-Metrics-Make-Recommender-Algorithms.pdf
They have an evaluation methodologies section where they explain quite simply how to measure your recommendation quality. On 18 Jan 2012, at 14:32, Raphael Bauduin wrote: > 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
