IItemBasedRecommender.RecommendedBecause Method

IItemBasedRecommender RecommendedBecause Method

NReco.Recommender Class Library

Lists the items that were most influential in recommending a given item to a given user. Exactly how this is determined is left to the implementation, but, generally this will return items that the user prefers and that are similar to the given item.

This returns a [!:List] of IRecommendedItem which is a little misleading since it's returning recommending items, but, I thought it more natural to just reuse this class since it encapsulates an item and value. The value here does not necessarily have a consistent interpretation or expected range; it will be higher the more influential the item was in the recommendation.

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> RecommendedBecause(
	long userID,
	long itemID,
	int howMany
)

List<IRecommendedItem> RecommendedBecause(
	long userID,
	long itemID,
	int howMany
)

Function RecommendedBecause ( 
	userID As Long,
	itemID As Long,
	howMany As Integer
) As List(Of IRecommendedItem)

Function RecommendedBecause ( 
	userID As Long,
	itemID As Long,
	howMany As Integer
) As List(Of IRecommendedItem)

List<IRecommendedItem^>^ RecommendedBecause(
	long long userID, 
	long long itemID, 
	int howMany
)

List<IRecommendedItem^>^ RecommendedBecause(
	long long userID, 
	long long itemID, 
	int howMany
)

abstract RecommendedBecause : 
        userID : int64 * 
        itemID : int64 * 
        howMany : int -> List<IRecommendedItem>

abstract RecommendedBecause : 
        userID : int64 * 
        itemID : int64 * 
        howMany : int -> List<IRecommendedItem>

Parameters

userID: Type: System Int64
ID of user who was recommended the item

itemID: Type: System Int64
ID of item that was recommended

howMany: Type: System Int32
maximum number of items to return

Return Value

Type: List IRecommendedItem
[!:List] of IRecommendedItem, ordered from most influential in recommended the given item to least