k-nearest neighbor user-based collaborative filtering using cosine-similarity (unweighted) More...
Public Member Functions | |
virtual void | AddFeedback (int user_id, int item_id) |
virtual bool | CanPredict (int user_id, int item_id) |
Check whether a useful prediction can be made for a given user-item combination. | |
Object | Clone () |
create a shallow copy of the object | |
override void | LoadModel (string filename) |
Get the model parameters from a file. | |
override double | Predict (int user_id, int item_id) |
Predict rating or score for a given user-item combination. | |
virtual void | RemoveFeedback (int user_id, int item_id) |
virtual void | RemoveItem (int item_id) |
virtual void | RemoveUser (int user_id) |
override void | SaveModel (string filename) |
Save the model parameters to a file. | |
override string | ToString () |
Return a string representation of the recommender. | |
override void | Train () |
Learn the model parameters of the recommender from the training data. | |
Protected Member Functions | |
virtual void | AddItem (int item_id) |
virtual void | AddUser (int user_id) |
Protected Attributes | |
CorrelationMatrix | correlation |
Correlation matrix over some kind of entity. | |
uint | k = 80 |
The number of neighbors to take into account for prediction. | |
int[][] | nearest_neighbors |
Precomputed nearest neighbors. | |
Properties | |
virtual IPosOnlyFeedback | Feedback [get, set] |
the feedback data to be used for training | |
uint | K [get, set] |
The number of neighbors to take into account for prediction. | |
int | MaxItemID [get, set] |
Maximum item ID. | |
int | MaxUserID [get, set] |
Maximum user ID. |
k-nearest neighbor user-based collaborative filtering using cosine-similarity (unweighted)
k=inf equals most-popular.
This recommender does NOT support incremental updates.
virtual bool CanPredict | ( | int | user_id, | |
int | item_id | |||
) | [virtual, inherited] |
Check whether a useful prediction can be made for a given user-item combination.
user_id | the user ID | |
item_id | the item ID |
Implements IRecommender.
Object Clone | ( | ) | [inherited] |
create a shallow copy of the object
override void LoadModel | ( | string | filename | ) | [virtual, inherited] |
Get the model parameters from a file.
filename | the name of the file to read from |
Implements ItemRecommender.
override double Predict | ( | int | user_id, | |
int | item_id | |||
) | [virtual] |
Predict rating or score for a given user-item combination.
user_id | the user ID | |
item_id | the item ID |
Implements ItemRecommender.
Reimplemented in WeightedUserKNN.
override void SaveModel | ( | string | filename | ) | [virtual, inherited] |
Save the model parameters to a file.
filename | the name of the file to write to |
Implements ItemRecommender.
override string ToString | ( | ) |
Return a string representation of the recommender.
The ToString() method of recommenders should list the class name and all hyperparameters, separated by space characters.
Implements IRecommender.
Reimplemented in UserAttributeKNN, and WeightedUserKNN.
CorrelationMatrix correlation [protected, inherited] |
Correlation matrix over some kind of entity.
uint k = 80 [protected, inherited] |
The number of neighbors to take into account for prediction.
int [][] nearest_neighbors [protected, inherited] |
Precomputed nearest neighbors.
virtual IPosOnlyFeedback Feedback [get, set, inherited] |
the feedback data to be used for training
uint K [get, set, inherited] |
The number of neighbors to take into account for prediction.
int MaxItemID [get, set, inherited] |
Maximum item ID.
int MaxUserID [get, set, inherited] |
Maximum user ID.