public GenericItemBasedRecommender(IDataModel dataModel,
IItemSimilarity similarity,
ICandidateItemsStrategy candidateItemsStrategy,
IMostSimilarItemsCandidateItemsStrategy mostSimilarItemsCandidateItemsStrategy) :
base(dataModel, candidateItemsStrategy)
{
//Preconditions.checkArgument(similarity != null, "similarity is null");
this.similarity = similarity;
//Preconditions.checkArgument(mostSimilarItemsCandidateItemsStrategy != null,
// "mostSimilarItemsCandidateItemsStrategy is null");
this.mostSimilarItemsCandidateItemsStrategy = mostSimilarItemsCandidateItemsStrategy;
this.refreshHelper = new RefreshHelper(() => {
capper = buildCapper();
});
refreshHelper.AddDependency(dataModel);
refreshHelper.AddDependency(similarity);
refreshHelper.AddDependency(candidateItemsStrategy);
refreshHelper.AddDependency(mostSimilarItemsCandidateItemsStrategy);
capper = buildCapper();
}
/// Create an SVDRecommender using a persistent store to cache factorizations. A factorization is loaded from the
/// store if present, otherwise a new factorization is computed and saved in the store.
///
/// The {@link #refresh(java.util.Collection) refresh} method recomputes the factorization and overwrites the store.
///
/// @param dataModel
/// @param factorizer
/// @param candidateItemsStrategy
/// @param persistenceStrategy
///
/// @throws TasteException
public SVDRecommender(IDataModel dataModel, IFactorizer factorizer, ICandidateItemsStrategy candidateItemsStrategy,
IPersistenceStrategy persistenceStrategy) : base(dataModel, candidateItemsStrategy)
{
this.factorizer = factorizer; //Preconditions.checkNotNull(factorizer);
this.persistenceStrategy = persistenceStrategy; // Preconditions.checkNotNull(persistenceStrategy);
try {
factorization = persistenceStrategy.Load();
} catch (IOException e) {
throw new TasteException("Error loading factorization", e);
}
if (factorization == null)
{
train();
}
refreshHelper = new RefreshHelper(() => {
train();
});
refreshHelper.AddDependency(GetDataModel());
refreshHelper.AddDependency(factorizer);
refreshHelper.AddDependency(candidateItemsStrategy);
}
public SVDRecommender(IDataModel dataModel, IFactorizer factorizer, ICandidateItemsStrategy candidateItemsStrategy) :
this(dataModel, factorizer, candidateItemsStrategy, getDefaultPersistenceStrategy())
{
}
protected AbstractRecommender(IDataModel dataModel, ICandidateItemsStrategy candidateItemsStrategy) {
this.dataModel = dataModel; //Preconditions.checkNotNull(dataModel);
this.candidateItemsStrategy = candidateItemsStrategy; // Preconditions.checkNotNull(candidateItemsStrategy);
}
public GenericBooleanPrefItemBasedRecommender(IDataModel dataModel, IItemSimilarity similarity,
ICandidateItemsStrategy candidateItemsStrategy, IMostSimilarItemsCandidateItemsStrategy
mostSimilarItemsCandidateItemsStrategy)
: base(dataModel, similarity, candidateItemsStrategy, mostSimilarItemsCandidateItemsStrategy) {
}
public GenericBooleanPrefItemBasedRecommender(IDataModel dataModel, IItemSimilarity similarity,
ICandidateItemsStrategy candidateItemsStrategy, IMostSimilarItemsCandidateItemsStrategy
mostSimilarItemsCandidateItemsStrategy)
: base(dataModel, similarity, candidateItemsStrategy, mostSimilarItemsCandidateItemsStrategy)
{
}
protected AbstractRecommender(IDataModel dataModel, ICandidateItemsStrategy candidateItemsStrategy)
{
this.dataModel = dataModel; //Preconditions.checkNotNull(dataModel);
this.candidateItemsStrategy = candidateItemsStrategy; // Preconditions.checkNotNull(candidateItemsStrategy);
}
