Thanks manuel and Steven for these very interesting links! I'll experiment further and look at the RecommenderEvaluator.
Raph On Wed, Jan 18, 2012 at 4:04 PM, Manuel Blechschmidt <[email protected]> wrote: > 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 > -- Web database: http://www.myowndb.com Free Software Developers Meeting: http://www.fosdem.org
