Do your ids start with 0 and cover all numbers between 0 and the number of items -1 (same for user ids)? The old hadoop-mahout code required ordinal ids starting at 0
On Nov 24, 2015, at 8:19 AM, Niklas Ekvall <niklas.ekv...@gmail.com> wrote: Hi Pat, Here is some input: 3 7414 3 12682 3 18947 3 19980 3 26975 3 54635 3 67789 3 73212 3 118932 3 138846 3 141268 5 3 5 2123 5 37955 5 39975 5 113289 6 3 6 456 6 2188 6 2496 6 6194 6 6361 6 6768 6 6919 6 6920 6 7257 6 7705 6 7706 6 11788 And some output: 3 [122086:1.0,1846:1.0,74638:1.0,63240:1.0,87540:1.0,2742:1.0,2981:1.0,8325:1.0,145598:1.0,49675:1.0,131388:1.0,72113:1.0,3493:1.0,56131:1.0,30422:1.0,87829:1.0,111190:1.0,13597:1.0,83436:1.0,61772:1.0] 5 [32349:1.0,29413:1.0,111896:1.0,61845:1.0,50016:1.0,1607:1.0,15237:1.0,133229:1.0,65805:1.0,34034:1.0,133071:1.0,28894:1.0,18658:1.0,32095:1.0,4402:1.0,47522:1.0,31022:1.0,23936:1.0,6243:1.0,53214:1.0] 6 [40756:1.0,34420:1.0,31153:1.0,114717:1.0,53945:1.0,71148:1.0,26095:1.0,112941:1.0,55284:1.0,111346:1.0,112201:1.0,65759:1.0,133127:1.0,61378:1.0,16413:1.0,113289:1.0,49675:1.0,14995:1.0,141028:1.0,27506:1.0] Best regards, Niklas 2015-11-24 16:48 GMT+01:00 Pat Ferrel <p...@occamsmachete.com>: > Sounds like you may not have the input right. Recommendations should be > sorted by the strength and so shouldn’t all be 1 unless the data is very > odd. > > Can you give us a small sample of the input? > > > BTW a newer recommender using Mahout’s Spark based code and a search > engine is here: > https://github.com/PredictionIO/template-scala-parallel-universal-recommendation > a single machine install script is here: https://docs.prediction.io/start/ > > On Nov 24, 2015, at 2:16 AM, Niklas Ekvall <niklas.ekv...@gmail.com> > wrote: > > Hello Mahout Users! > > I use today Mahout - Recommenditembased with Log-similarity to produce > personal recommendations for Trigger Eamils in a offline mode. But when I > produce e.g. 50 recommendations the rank value of the recommendations are > always of magnitude 1. Why is this so? And, is the first recommendations in > this list the best one or is there some randomness in this list? > > Best regards, > > Niklas Ekvall > >
