public GenericItemSimilarity(ItemSimilarity otherSimilarity, DataModel dataModel)
{
this.similarityMaps = new FastByIDMap <FastByIDMap <double?> >();
this.similarItemIDsIndex = new FastByIDMap <FastIDSet>();
long[] itemIDs = GenericUserSimilarity.longIteratorToList(dataModel.getItemIDs());
this.initSimilarityMaps(new DataModelSimilaritiesIterator(otherSimilarity, itemIDs));
}
internal MultiMostSimilarEstimator(long[] toItemIDs, ItemSimilarity similarity, Rescorer <Tuple <long, long> > rescorer, bool excludeItemIfNotSimilarToAll)
{
this.toItemIDs = toItemIDs;
this.similarity = similarity;
this.rescorer = rescorer;
this.excludeItemIfNotSimilarToAll = excludeItemIfNotSimilarToAll;
}
internal DataModelSimilaritiesIterator(ItemSimilarity otherSimilarity, long[] itemIDs)
{
this.otherSimilarity = otherSimilarity;
this.itemIDs = itemIDs;
this.i = 0;
this.itemID1 = itemIDs[0];
this.j = 1;
}
public GenericItemSimilarity(ItemSimilarity otherSimilarity, DataModel dataModel, int maxToKeep)
{
this.similarityMaps = new FastByIDMap <FastByIDMap <double?> >();
this.similarItemIDsIndex = new FastByIDMap <FastIDSet>();
long[] itemIDs = GenericUserSimilarity.longIteratorToList(dataModel.getItemIDs());
DataModelSimilaritiesIterator allSimilarities = new DataModelSimilaritiesIterator(otherSimilarity, itemIDs);
this.initSimilarityMaps(TopItems.getTopItemItemSimilarities(maxToKeep, allSimilarities).GetEnumerator());
}
public KnnItemBasedRecommender(DataModel dataModel,
ItemSimilarity similarity,
Optimizer optimizer,
CandidateItemsStrategy candidateItemsStrategy,
MostSimilarItemsCandidateItemsStrategy mostSimilarItemsCandidateItemsStrategy,
int neighborhoodSize) :
base(dataModel, similarity, candidateItemsStrategy, mostSimilarItemsCandidateItemsStrategy)
{
this.optimizer = optimizer;
this.neighborhoodSize = neighborhoodSize;
}
public CachingItemSimilarity(ItemSimilarity similarity, int maxCacheSize)
{
Action refreshRunnable = null;
this.similarity = similarity;
this.similarityCache = new Cache <Tuple <long, long>, double>(new SimilarityRetriever(similarity), maxCacheSize);
if (refreshRunnable == null)
{
refreshRunnable = () => this.similarityCache.clear();
}
this.refreshHelper = new RefreshHelper(refreshRunnable);
this.refreshHelper.addDependency(similarity);
}
protected void reload()
{
if (reloadLock.tryLock())
{
try {
long newLastModified = dataFile.lastModified();
_delegate = new GenericItemSimilarity(new FileItemItemSimilarityIterable(dataFile));
lastModified = newLastModified;
} finally {
reloadLock.unlock();
}
}
}
public GenericItemBasedRecommender(DataModel dataModel, ItemSimilarity similarity, CandidateItemsStrategy candidateItemsStrategy, MostSimilarItemsCandidateItemsStrategy mostSimilarItemsCandidateItemsStrategy)
: base(dataModel, candidateItemsStrategy)
{
Action refreshRunnable = null;
this.similarity = similarity;
this.mostSimilarItemsCandidateItemsStrategy = mostSimilarItemsCandidateItemsStrategy;
if (refreshRunnable == null)
{
refreshRunnable = () => this.capper = this.buildCapper();
}
this.refreshHelper = new RefreshHelper(refreshRunnable);
this.refreshHelper.addDependency(dataModel);
this.refreshHelper.addDependency(similarity);
this.refreshHelper.addDependency(candidateItemsStrategy);
this.refreshHelper.addDependency(mostSimilarItemsCandidateItemsStrategy);
this.capper = this.buildCapper();
}
public MostSimilarEstimator(long toItemID, ItemSimilarity similarity, Rescorer <Tuple <long, long> > rescorer)
{
this.toItemID = toItemID;
this.similarity = similarity;
this.rescorer = rescorer;
}
protected void reload() {
if (reloadLock.tryLock()) {
try {
long newLastModified = dataFile.lastModified();
_delegate = new GenericItemSimilarity(new FileItemItemSimilarityIterable(dataFile));
lastModified = newLastModified;
} finally {
reloadLock.unlock();
}
}
}
public AllSimilarItemsCandidateItemsStrategy(ItemSimilarity similarity)
{
this.similarity = similarity;
}
public GenericBooleanPrefItemBasedRecommender(DataModel dataModel, ItemSimilarity similarity)
: base(dataModel, similarity)
{
}
public GenericBooleanPrefItemBasedRecommender(DataModel dataModel, ItemSimilarity similarity, CandidateItemsStrategy candidateItemsStrategy, MostSimilarItemsCandidateItemsStrategy mostSimilarItemsCandidateItemsStrategy)
: base(dataModel, similarity, candidateItemsStrategy, mostSimilarItemsCandidateItemsStrategy)
{
}
internal SimilarityRetriever(ItemSimilarity similarity)
{
this.similarity = similarity;
}
public GenericItemBasedRecommender(DataModel dataModel, ItemSimilarity similarity)
: this(dataModel, similarity, AbstractRecommender.getDefaultCandidateItemsStrategy(), getDefaultMostSimilarItemsCandidateItemsStrategy())
{
}
public KnnItemBasedRecommender(DataModel dataModel, ItemSimilarity similarity, Optimizer optimizer, int neighborhoodSize) :
this(dataModel, similarity, optimizer, getDefaultCandidateItemsStrategy(), getDefaultMostSimilarItemsCandidateItemsStrategy(), neighborhoodSize)
{
}
public CachingItemSimilarity(ItemSimilarity similarity, DataModel dataModel)
: this(similarity, dataModel.getNumItems())
{
}
