Hi, I'm running a RecommenderJob (mahout-0.4 version) over hadoop like this:
hadoop-0.20 jar /mahout-distribution-0.4/mahout-core-0.4-job.jar org.apache.mahout.cf.taste.hadoop.item.RecommenderJob -Dmapred.input.dir=input -Dmapred.output.dir=output -s SIMILARITY_TANIMOTO_COEFFICIENT -b true The job works fine but when I examine the result I get things like: 12 [1:1.0,2:1.0,3:1.0,5:1.0,6:1.0,11:1.0,168:1.0,173:1.0,180:1.0,199:1.0] 14 [1:1.0,2:1.0,3:1.0,5:1.0,6:1.0,11:1.0,14:1.0,21:1.0,22:1.0,23:1.0] ... I can't understand why each recommendation gets 1.0 of score. It doesn't matter which SimilarityClass I set. I always get a score of 1.0. My input file is a "boolean file" (1391374 rows) with values like: 1,6496241 1,4368916 1,4922226 1,4958662 ... If I run "org.apache.mahout.cf.taste.hadoop.similarity.item.ItemSimilarityJob" job over the same file I get good results for items. Any ideas? Thanks in advance.
