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 .
