ItemsFiltered Class Reference

Evaluation class for filtered item recommendation. More...

Static Public Member Functions
static ItemRecommendationEvaluationResults	EvaluateFiltered (this IRecommender recommender, IPosOnlyFeedback test, IPosOnlyFeedback train, SparseBooleanMatrix item_attributes, IList< int > test_users, IList< int > candidate_items, bool repeated_events=false)
	Evaluation for rankings of filtered items.
static Dictionary< int, ICollection< int > >	GetFilteredItems (int user_id, IPosOnlyFeedback test, SparseBooleanMatrix item_attributes)
	For a given user and the test dataset, return a dictionary of items filtered by attributes.

Detailed Description

Evaluation class for filtered item recommendation.

static ItemRecommendationEvaluationResults EvaluateFiltered	(	this IRecommender	recommender,
		IPosOnlyFeedback	test,
		IPosOnlyFeedback	train,
		SparseBooleanMatrix	item_attributes,
		IList< int >	test_users,
		IList< int >	candidate_items,
		bool	repeated_events = `false`
	)			`[inline, static]`

Evaluation for rankings of filtered items.

Parameters:

	recommender	item recommender
	test	test cases
	train	training data
	item_attributes	the item attributes to be used for filtering
	test_users	a collection of integers with all test users
	candidate_items	a collection of integers with all candidate items
	repeated_events	allow repeated events in the evaluation (i.e. items accessed by a user before may be in the recommended list)

static Dictionary<int, ICollection<int> > GetFilteredItems	(	int	user_id,
		IPosOnlyFeedback	test,
		SparseBooleanMatrix	item_attributes
	)			`[inline, static]`

For a given user and the test dataset, return a dictionary of items filtered by attributes.

Parameters:

Returns:: a dictionary containing a mapping from attribute IDs to collections of item IDs

The documentation for this class was generated from the following file: