Hi, I am new to Mahout. I am using Mahout on Cloudera CDH5.3. I believe it has
version 0.9.Wondering how can I get help documentation. Specifically I am
trying to use item based recommender algorithm(as below). I downloaded the
Mahout 0.9 distribution files, but not able to find help specifically on below
function, such as what does parameter mean for --numRecommendations etc.Am I
missing some step here? Thanks.
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recommenditembased [--input <input> --output <output> --numRecommendations
<numRecommendations> --usersFile <usersFile> --itemsFile <itemsFile>
--filterFile <filterFile> --booleanData <booleanData> --maxPrefsPerUser
<maxPrefsPerUser> --minPrefsPerUser <minPrefsPerUser>
--maxSimilaritiesPerItem <maxSimilaritiesPerItem>
--maxPrefsInItemSimilarity <maxPrefsInItemSimilarity> --similarityClassname
<similarityClassname> --threshold <threshold>
--outputPathForSimilarityMatrix <outputPathForSimilarityMatrix> --randomSeed
<randomSeed> --sequencefileOutput --help --tempDir <tempDir> --startPhase
<startPhase> --endPhase <endPhase>]
--similarityClassname (-s) similarityClassname Name of distributed
similarity measures class to
instantiate, alternatively
use one of the predefined
similarities
([SIMILARITY_COOCCURRENCE,
SIMILARITY_LOGLIKELIHOOD,
SIMILARITY_TANIMOTO_COEFFICIEN
T, SIMILARITY_CITY_BLOCK,
SIMILARITY_COSINE,
SIMILARITY_PEARSON_CORRELATION
,
SIMILARITY_EUCLIDEAN_DISTANCE]
) Eric Jin Retail Service Decision Management eric....@citi.com
224-222-2590
