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A repackaged librec-core fork
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#data.input.path=filmtrust/rating
data.column.format=UIRT
rec.similarity.class=pcc
rec.neighbors.knn.number=20
rec.recommender.class=userknn
rec.recommender.similarities=user
rec.recommender.isranking=false
rec.recommender.ranking.topn=10
rec.filter.class=generic
rec.similarity.shrinkage=10
#default weight
rec.ensemble.weight = 1.0
rec.recommender.fullClassName = net.librec.recommender.cf.ranking.UserKNNRecommender