There should be a score after each recommended item (i.e. 123456:2.6) in your output. Lower scores would be the ones you're interested in.
Sent from my iPhone On Sep 28, 2013, at 8:25 AM, "Deepak Subhramanian" <[email protected]> wrote: > Hi > > I am trying to predict the ratings for some items for some users using item > based collaborative filtering. I tried using the mahout recommenditembased > , but it shows only the top 10 items or I can increase it by passing the > --numRecommendations parameter. But it doesnt shows items which has lower > predicted rating . What is the best approach to get ratings for items which > has low predicted rating ? > > > I tried this command. > > mahout recommenditembased --input mahoutrecoinput --usersFile > recouserlist --itemsFile recoitemlist --output > /mahoutrecooutputpearsonnew -s SIMILARITY_PEARSON_CORRELATION > --numRecommendations 4000 --maxPrefsPerUser 4000 > > Also I tried using the estimatePreference method on the recommender. > > Please help .
