C# Class numl.Recommendation.CofiRecommenderModel

Collaborative Filtering Recommender model.

Inheritance: Supervised.Model

Public Methods

Method	Description
CofiRecommenderModel ( ) : System	Initializes a new Collaborative Filtering recommender model.
NewEntity ( object item ) : void	Inserts a new learning target entity feature item into the model, i.e. insert a new Movie into the existing model.
NewReference ( object item ) : void	Inserts a new source / reference feature (i.e. User rating items) into the existing model.
Predict ( int referenceId ) : Vector	Predicts all the recommendations of the Items for the supplied reference, i.e. a user.
Predict ( Vector y ) : double	Not implemnted.
PredictRelated ( int itemId, int count = 5, ItemType itemType = ItemType.References ) : Vector	Predicts the related items, given the item index and the type (either References or Entities).

Initializes a new Collaborative Filtering recommender model.

public CofiRecommenderModel ( ) : System
return	System

Inserts a new learning target entity feature item into the model, i.e. insert a new Movie into the existing model.

public NewEntity ( object item ) : void
item	object	A source entity object.
return	void

Inserts a new source / reference feature (i.e. User rating items) into the existing model.

public NewReference ( object item ) : void
item	object	A source feature object.
return	void

Predicts all the recommendations of the Items for the supplied reference, i.e. a user.

public Predict ( int referenceId ) : Vector
referenceId	int	Reference index to use for generating predictions.
return	numl.Math.LinearAlgebra.Vector

Not implemnted.

public Predict ( Vector y ) : double
y	numl.Math.LinearAlgebra.Vector
return	double

Predicts the related items, given the item index and the type (either References or Entities).

public PredictRelated ( int itemId, int count = 5, ItemType itemType = ItemType.References ) : Vector
itemId	int	The item index in the corresponding feature map column.
count	int	count
itemType	ItemType	Type of item to return related items (i.e. References = user ratings OR Entities = books or movies)
return	numl.Math.LinearAlgebra.Vector