Mahout in Action is out of date and the code mentioned is being deprecated. Many of the examples don’t run anymore.
These days we run on more modern compute platforms like Spark. For the latest Mahout Recommender you can start with the Command Line Interface to spark-itemsimilarity and integrated it with Solr or Eleasticsearch. Or you can pickup a fully integrated end-to-end solution linked below; Building a recommender with Mahout: http://mahout.apache.org/users/algorithms/recommender-overview.html <http://mahout.apache.org/users/algorithms/recommender-overview.html> Mahout spark-itemsimilarity: http://mahout.apache.org/users/recommender/intro-cooccurrence-spark.html <http://mahout.apache.org/users/recommender/intro-cooccurrence-spark.html> Universal Recommender from ActionML: https://github.com/actionml/template-scala-parallel-universal-recommendation <https://github.com/actionml/template-scala-parallel-universal-recommendation> The UR is built on PredictionIO ML Framework here: https://github.com/actionml/PredictionIO On Apr 6, 2016, at 3:15 AM, Rohit Jain <rohitkjai...@gmail.com> wrote: Hello everyone, I am newbie to Apache Mahout. I am using Apache mahout 0.11.2. So to give it a try I created java class called samplereccommender.java which is attached in attachment and I managed to run same code from command line as java -cp n.jar f.SampleReccommender n_lib/wishlistdata.txt Now from what I read on the internet and book "Mahout in action" I understood that same code can be run on hadoop by using following commands. first i need to include my recommender.java into existing apache-mahout-distribution-0.11.2/mahout-mr-0.11.2-job.jar. So I followed following procedure. jar uf /Users/rohitjain/Documents/apache-mahout-distribution-0.11.2/mahout-mr-0.11.2-job.jar n.jar then i tried running mahout job using following command bin/hadoop jar /Users/rohitjain/Documents/apache-mahout-distribution-0.11.2/mahout-mr-0.11.2-job.jar org.apache.mahout.cf.taste.hadoop.item.RecommenderJob -i /input/wishlistdata.txt -o /output/ --recommenderClassName \ f.SampleRecommender But it gives me an error as : Unexpected --recommenderClassName while processing Job-Specific Options: I tried above command based on the syntax given "mahout in action" book which is as mentioned below hadoop jar mahout-core-0.5-job.jar \ org.apache.mahout.cf.taste.hadoop.pseudo.RecommenderJob \ -Dmapred.input.dir=input/ua.base.hadoop \ -Dmapred.output.dir=output \ --recommenderClassName \ org.apache.mahout.cf.taste.impl.recommender.slopeone.SlopeOneRecommender Am I doing anything wrong ? Also tell me whether the code I used for standalone implementation same can be be used for recommenderJobs or it requires all together different implementation? -- Thanks & Regards, Rohit Jain Web developer | Consultant Mob +91 8097283931
