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Posted to user@mahout.apache.org by Weiqing Jin <wq...@yahoo.com.INVALID> on 2015/12/03 01:22:54 UTC
Mahout item based recommender help documentation
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.
<!--#yiv6600406099 _filtered #yiv6600406099 {font-family:Calibri;panose-1:2 15 5 2 2 2 4 3 2 4;}#yiv6600406099 #yiv6600406099 p.yiv6600406099MsoNormal, #yiv6600406099 li.yiv6600406099MsoNormal, #yiv6600406099 div.yiv6600406099MsoNormal {margin:0in;margin-bottom:.0001pt;font-size:11.0pt;font-family:"Calibri", "sans-serif";}#yiv6600406099 a:link, #yiv6600406099 span.yiv6600406099MsoHyperlink {color:blue;text-decoration:underline;}#yiv6600406099 a:visited, #yiv6600406099 span.yiv6600406099MsoHyperlinkFollowed {color:purple;text-decoration:underline;}#yiv6600406099 span.yiv6600406099EmailStyle17 {font-family:"Calibri", "sans-serif";color:windowtext;}#yiv6600406099 .yiv6600406099MsoChpDefault {font-family:"Calibri", "sans-serif";} _filtered #yiv6600406099 {margin:1.0in 1.0in 1.0in 1.0in;}#yiv6600406099 div.yiv6600406099WordSection1 {}-->mahout 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.Jin@citi.com 224-222-2590
Re: Mahout item based recommender help documentation
Posted by Suneel Marthi <sm...@apache.org>.
Mahout 0.9 isn't supported anymore, suggest that you upgrade to Mahout
0.11.0 which is Spark 1.3+ compatible.
On Wed, Dec 2, 2015 at 7:22 PM, Weiqing Jin <wq...@yahoo.com.invalid> wrote:
> 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.
> <!--#yiv6600406099 _filtered #yiv6600406099
> {font-family:Calibri;panose-1:2 15 5 2 2 2 4 3 2 4;}#yiv6600406099
> #yiv6600406099 p.yiv6600406099MsoNormal, #yiv6600406099
> li.yiv6600406099MsoNormal, #yiv6600406099 div.yiv6600406099MsoNormal
> {margin:0in;margin-bottom:.0001pt;font-size:11.0pt;font-family:"Calibri",
> "sans-serif";}#yiv6600406099 a:link, #yiv6600406099
> span.yiv6600406099MsoHyperlink
> {color:blue;text-decoration:underline;}#yiv6600406099 a:visited,
> #yiv6600406099 span.yiv6600406099MsoHyperlinkFollowed
> {color:purple;text-decoration:underline;}#yiv6600406099
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> {font-family:"Calibri", "sans-serif";} _filtered #yiv6600406099
> {margin:1.0in 1.0in 1.0in 1.0in;}#yiv6600406099
> div.yiv6600406099WordSection1 {}-->mahout 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.Jin@citi.com 224-222-2590
>
>