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" <deepak.subhramanian@gmail.com> 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 .
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