org.apache.mahout.cf.taste.hadoop.item
Class RecommenderJob
java.lang.Object
org.apache.hadoop.conf.Configured
org.apache.mahout.common.AbstractJob
org.apache.mahout.cf.taste.hadoop.item.RecommenderJob
- All Implemented Interfaces:
- org.apache.hadoop.conf.Configurable, org.apache.hadoop.util.Tool
public final class RecommenderJob
- extends AbstractJob
Runs a completely distributed recommender job as a series of mapreduces.
Preferences in the input file should look like userID, itemID[, preferencevalue]
Preference value is optional to accommodate applications that have no notion of a preference value (that is, the user
simply expresses a preference for an item, but no degree of preference).
The preference value is assumed to be parseable as a double
. The user IDs and item IDs are
parsed as long
s.
Command line arguments specific to this class are:
- --input(path): Directory containing one or more text files with the preference data
- --output(path): output path where recommender output should go
- --similarityClassname (classname): Name of vector similarity class to instantiate or a predefined similarity
from
VectorSimilarityMeasure
- --usersFile (path): only compute recommendations for user IDs contained in this file (optional)
- --itemsFile (path): only include item IDs from this file in the recommendations (optional)
- --filterFile (path): file containing comma-separated userID,itemID pairs. Used to exclude the item from the
recommendations for that user (optional)
- --numRecommendations (integer): Number of recommendations to compute per user (10)
- --booleanData (boolean): Treat input data as having no pref values (false)
- --maxPrefsPerUser (integer): Maximum number of preferences considered per user in final
recommendation phase (10)
- --maxSimilaritiesPerItem (integer): Maximum number of similarities considered per item (100)
- --minPrefsPerUser (integer): ignore users with less preferences than this in the similarity computation (1)
- --maxPrefsPerUserInItemSimilarity (integer): max number of preferences to consider per user in
the item similarity computation phase,
users with more preferences will be sampled down (1000)
- --threshold (double): discard item pairs with a similarity value below this
General command line options are documented in AbstractJob
.
Note that because of how Hadoop parses arguments, all "-D" arguments must appear before all other
arguments.
Methods inherited from class org.apache.mahout.common.AbstractJob |
addFlag, addInputOption, addOption, addOption, addOption, addOption, addOutputOption, buildOption, buildOption, getAnalyzerClassFromOption, getCLIOption, getConf, getDimensions, getFloat, getFloat, getGroup, getInputFile, getInputPath, getInt, getInt, getOption, getOption, getOption, getOptions, getOutputFile, getOutputPath, getOutputPath, getTempPath, getTempPath, hasOption, keyFor, maybePut, parseArguments, parseArguments, parseDirectories, prepareJob, prepareJob, prepareJob, prepareJob, setConf, setS3SafeCombinedInputPath, shouldRunNextPhase |
Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
BOOLEAN_DATA
public static final String BOOLEAN_DATA
- See Also:
- Constant Field Values
DEFAULT_PREPARE_PATH
public static final String DEFAULT_PREPARE_PATH
- See Also:
- Constant Field Values
RecommenderJob
public RecommenderJob()
run
public int run(String[] args)
throws Exception
- Throws:
Exception
main
public static void main(String[] args)
throws Exception
- Throws:
Exception
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