Hi Raphael, here are some measurements by me with mahout for a similar case:
http://mail-archives.apache.org/mod_mbox/mahout-user/201111.mbox/%[email protected]%3E I have a start up which is building that kind of technology so feel free to reach out to me. /Manuel On 18.01.2012, at 15:32, 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 -- Manuel Blechschmidt Dortustr. 57 14467 Potsdam Mobil: 0173/6322621 Twitter: http://twitter.com/Manuel_B
