IItemAttributeAwareRecommender Interface Reference

Interface for recommenders that take binary item attributes into account. More...

Inheritance diagram for IItemAttributeAwareRecommender:
IRecommender BPRLinear ItemAttributeKNN ItemAttributeKNN

List of all members.

Public Member Functions

bool CanPredict (int user_id, int item_id)
 Check whether a useful prediction (i.e. not using a fallback/default answer) can be made for a given user-item combination.
void LoadModel (string filename)
 Get the model parameters from a file.
float Predict (int user_id, int item_id)
 Predict rating or score for a given user-item combination.
void SaveModel (string filename)
 Save the model parameters to a file.
string ToString ()
 Return a string representation of the recommender.
void Train ()
 Learn the model parameters of the recommender from the training data.

Properties

SparseBooleanMatrix ItemAttributes [get, set]
int NumItemAttributes [get]

Detailed Description

Interface for recommenders that take binary item attributes into account.


Member Function Documentation

bool CanPredict ( int  user_id,
int  item_id 
) [inherited]

Check whether a useful prediction (i.e. not using a fallback/default answer) can be made for a given user-item combination.

It is up to the recommender implementor to decide when a prediction is useful, and to document it accordingly.

Parameters:
user_id the user ID
item_id the item ID
Returns:
true if a useful prediction can be made, false otherwise

Implemented in Ensemble, ItemRecommender, BiPolarSlopeOne, Constant, GlobalAverage, ItemAverage, Random, RatingPredictor, SlopeOne, and UserAverage.

void LoadModel ( string  filename  )  [inherited]
float Predict ( int  user_id,
int  item_id 
) [inherited]

Predict rating or score for a given user-item combination.

Parameters:
user_id the user ID
item_id the item ID
Returns:
the predicted score/rating for the given user-item combination

Implemented in Ensemble, WeightedEnsemble, BPRLinear, BPRMF, ItemKNN, ItemRecommender, MF, MostPopular, Random, UserKNN, WeightedItemKNN, WeightedUserKNN, Zero, BiasedMatrixFactorization, BiPolarSlopeOne, CoClustering, Constant, FactorWiseMatrixFactorization, GlobalAverage, ItemAverage, ItemKNN, LatentFeatureLogLinearModel, MatrixFactorization, Random, RatingPredictor, SigmoidSVDPlusPlus, SlopeOne, SVDPlusPlus, TimeAwareBaseline, UserAverage, UserItemBaseline, and UserKNN.

void SaveModel ( string  filename  )  [inherited]
string ToString (  )  [inherited]

Property Documentation

SparseBooleanMatrix ItemAttributes [get, set]

the binary item attributes

Implemented in BPRLinear, ItemAttributeKNN, and ItemAttributeKNN.

int NumItemAttributes [get]

an integer stating the number of attributes

Implemented in BPRLinear, ItemAttributeKNN, and ItemAttributeKNN.


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