a fast and lightweight collaborative filtering algorithm for binary ratings.
If you use LCBM please cite the following paper:
- F. Petroni, L. Querzoni, R. Beraldi, M. Paolucci: "LCBM: Statistics-Based Parallel Collaborative Filtering." In: Proceedings of the 17th International Conference on Business Information Systems (BIS), 2014.
###Hadoop MapReduce:
To run the project on hadoop type the following:
bin/hadoop jar /home/hduser/LCBM_mapreduce.jar train test [options]
Parameters:
train: the name of the file with the train datatest: the name of the file with the test data.
Options:
-k int-> specifies the multiplicative factor for the SE. Default 2.-split_token char-> specifies the character that splits the dataset.-output1 string-> specifies the name of the first output directory in the hdfs.-output2 sting-> specifies the name of the second output directory in the hdfs.
bin/hadoop jar /home/hduser/LCBM_mapreduce.jar ml100k/trace1.base ml100k/trace1.test