Hi all, I am working on mahout-0.7 recommendations, ran following command from the command line ./bin/mahout recommenditembased --input UserData.csv --output output/ --similarityClassname SIMILARITY_PEARSON_CORRELATION --numRecommendations 10 got the recommendations for every user. I deployed the Mahout integration war in the localhost and executed the url( http://localhost:8080/mahout-integration-0.7/RecommenderServlet?userID=47639&howMany=10), got the results, but when i compare the recommendations of above and this for the 47639 user then results are completely different.
I am using GenericItemBasedRecommender with Pearson Correlation similarity and the same input file. I would like to know why i am getting different results? Both are item based only right? Which recommender is recommenditembased using? -- Thanks & Regards, Raju Chinthala
