IItemBasedRecommender.MostSimilarItems Method (Int64[], Int32, IRescorer(Tuple(Int64, Int64)))

IItemBasedRecommender MostSimilarItems Method ( Int64 , Int32, IRescorer Tuple Int64, Int64 )

NReco.Recommender Class Library

Get list of most similar items

Namespace: NReco.CF.Taste.Recommender
Assembly: NReco.Recommender (in NReco.Recommender.dll) Version: 1.0.0.0 (1.0.0.0)

Syntax

C++

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List<IRecommendedItem> MostSimilarItems(
	long[] itemIDs,
	int howMany,
	IRescorer<Tuple<long, long>> rescorer
)

List<IRecommendedItem> MostSimilarItems(
	long[] itemIDs,
	int howMany,
	IRescorer<Tuple<long, long>> rescorer
)

Function MostSimilarItems ( 
	itemIDs As Long(),
	howMany As Integer,
	rescorer As IRescorer(Of Tuple(Of Long, Long))
) As List(Of IRecommendedItem)

Function MostSimilarItems ( 
	itemIDs As Long(),
	howMany As Integer,
	rescorer As IRescorer(Of Tuple(Of Long, Long))
) As List(Of IRecommendedItem)

List<IRecommendedItem^>^ MostSimilarItems(
	array<long long>^ itemIDs, 
	int howMany, 
	IRescorer<Tuple<long long, long long>^>^ rescorer
)

List<IRecommendedItem^>^ MostSimilarItems(
	array<long long>^ itemIDs, 
	int howMany, 
	IRescorer<Tuple<long long, long long>^>^ rescorer
)

abstract MostSimilarItems : 
        itemIDs : int64[] * 
        howMany : int * 
        rescorer : IRescorer<Tuple<int64, int64>> -> List<IRecommendedItem>

abstract MostSimilarItems : 
        itemIDs : int64[] * 
        howMany : int * 
        rescorer : IRescorer<Tuple<int64, int64>> -> List<IRecommendedItem>

Parameters

itemIDs: Type: System Int64
IDs of item for which to find most similar other items

howMany: Type: System Int32
desired number of most similar items to find

rescorer: Type: NReco.CF.Taste.Recommender IRescorer Tuple Int64, Int64
[!:IRescorer] which can adjust item-item similarity estimates used to determine most similar items

Return Value

Type: List IRecommendedItem
items most similar to the given items, ordered from most similar to least