Mahout ItemRec Engine

• data/ - engine data
• algos/ - algo

Compile and Run

Run GenericItemBased:

$ cd $PIO_HOME/examples
$ ../bin/pio-run io.prediction.examples.java.itemrec.Runner

By default, the sample data examples/ratings.csv is used. You may provide othere data source file.

Use ml-100k Data Set

Download data set:

$ curl http://files.grouplens.org/papers/ml-100k.zip -o ml-100k.zip
$ unzip ml-100k.zip

Note: because the algorithm will look at all other files in the same directory, the data source file directory must contain only valid data files.

Since the ml-100k directory contain other files, copy the u.data for the reasons above:

$ cp ml-100k/u.data  <your data source file directory>/

Run GenericItemBased with <your data source file directory>/u.data:

$ ../bin/pio-run io.prediction.examples.java.itemrec.Runner \
<your data source file directory>/u.data \
genericitembased

Run SVDPlusPlus with <your data source file directory>/u.data:

$ ../bin/pio-run io.prediction.examples.java.itemrec.Runner \
<your data source file directory>/u.data \
svdplusplus