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From Sebastian Schelter <...@apache.org>
Subject Re: recommendation help
Date Tue, 15 Feb 2011 18:45:42 GMT
Hello Paul,

Do you want to compute the top similar items for each item (sometimes 
referred to as item-to-item-recommendation)? You can use 
org.apache.mahout.cf.taste.hadoop.similarity.item.ItemSimilarityJob for 
this.

--sebastian

On 15.02.2011 19:40, Paul, Seby wrote:
> I am trying to generate item level recommendation from
> org.apache.mahout.cf.taste.hadoop.item.RecommenderJob (distributed
> version from version 0.40),  i can see that I am providing the following
> parameters from the log files:
>
>
>
> --booleanData=true, --endPhase=2147483647,
> --input=/user/mladm/viewmodel2,
>
>   --itemsFile=/mahout/test/raitems2.txt, --maxCooccurrencesPerItem=100,
> --maxPrefsPerUser=10, --maxSimilaritiesPerItem=100,
> --numRecommendations=10, --output=/mahout/test/viewrecom,
> --similarityClassname=SIMILARITY_LOGLIKELIHOOD, --startPhase=0,
> --tempDir=temp}
>
>
>
>
>
> The output still shows recommendation at user level, please let me know
> if I need to pass any additional parameters to generate recommendation
> at item level .
>
>
>
> Thank you
>
> Seby Paul
>
>
>
>


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