public IList <RecommendedItem> MostSimilarItems(List <Object> itemIDs,
int howMany,
Rescorer <Pair <Item, Item> > rescorer)
{
if (rescorer == null)
{
throw new ArgumentNullException("rescorer is null");
}
DataModel model = this.DataModel;
List <Item> toItems = new List <Item>(itemIDs.Count);
foreach (Object itemID in itemIDs)
{
toItems.Add(model.GetItem(itemID));
}
TopItems.Estimator <Item> estimator = new MultiMostSimilarEstimator(toItems, correlation, rescorer);
ICollection <Item> allItems = new HashedSet <Item>(/*Model.GetNumItems()*/);
foreach (Item item in model.GetItems())
{
allItems.Add(item);
}
foreach (Item item in toItems)
{
allItems.Remove(item);
}
return(TopItems.GetTopItems(howMany, allItems, NullRescorer <Item> .Instance, estimator));
}
public List <IRecommendedItem> MostSimilarItems(long[] itemIDs, int howMany,
IRescorer <Tuple <long, long> > rescorer)
{
TopItems.IEstimator <long> estimator = new MultiMostSimilarEstimator(itemIDs, similarity, rescorer,
EXCLUDE_ITEM_IF_NOT_SIMILAR_TO_ALL_BY_DEFAULT);
return(doMostSimilarItems(itemIDs, howMany, estimator));
}
public List <IRecommendedItem> MostSimilarItems(long[] itemIDs, int howMany,
IRescorer <Tuple <long, long> > rescorer,
bool excludeItemIfNotSimilarToAll)
{
TopItems.IEstimator <long> estimator = new MultiMostSimilarEstimator(itemIDs, similarity, rescorer,
excludeItemIfNotSimilarToAll);
return(doMostSimilarItems(itemIDs, howMany, estimator));
}
public List <RecommendedItem> mostSimilarItems(long[] itemIDs, int howMany, bool excludeItemIfNotSimilarToAll)
{
TopItems.Estimator <long> estimator = new MultiMostSimilarEstimator(itemIDs, this.similarity, null, excludeItemIfNotSimilarToAll);
return(this.doMostSimilarItems(itemIDs, howMany, estimator));
}
public List <RecommendedItem> mostSimilarItems(long[] itemIDs, int howMany)
{
TopItems.Estimator <long> estimator = new MultiMostSimilarEstimator(itemIDs, this.similarity, null, EXCLUDE_ITEM_IF_NOT_SIMILAR_TO_ALL_BY_DEFAULT);
return(this.doMostSimilarItems(itemIDs, howMany, estimator));
}
