Frequency-weighted Slope-One rating prediction
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override 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 More...
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Object | Clone () |
| create a shallow copy of the object More...
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override void | LoadModel (string file) |
| Get the model parameters from a file More...
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override float | Predict (int user_id, int item_id) |
| Predict rating or score for a given user-item combination More...
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IList< Tuple< int, float > > | Recommend (int user_id, int n=-1, ICollection< int > ignore_items=null, ICollection< int > candidate_items=null) |
| Recommend items for a given user More...
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virtual System.Collections.Generic.IList< Tuple< int, float > > | Recommend (int user_id, int n=-1, System.Collections.Generic.ICollection< int > ignore_items=null, System.Collections.Generic.ICollection< int > candidate_items=null) |
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override void | SaveModel (string file) |
| Save the model parameters to a file More...
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override string | ToString () |
| Return a string representation of the recommender More...
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override void | Train () |
| Learn the model parameters of the recommender from the training data More...
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Frequency-weighted Slope-One rating prediction
Daniel Lemire, Anna Maclachlan: Slope One Predictors for Online Rating-Based Collaborative Filtering. SIAM Data Mining (SDM 2005). http://www.daniel-lemire.com/fr/abstracts/SDM2005.html
This recommender does NOT support incremental updates. They would be easy to implement, though.
override bool CanPredict |
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int |
user_id, |
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int |
item_id |
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) |
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inlinevirtual |
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
Reimplemented from Recommender.
create a shallow copy of the object
override void LoadModel |
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string |
filename | ) |
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inlinevirtual |
Get the model parameters from a file
- Parameters
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filename | the name of the file to read from |
Reimplemented from Recommender.
override float Predict |
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int |
user_id, |
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int |
item_id |
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) |
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inlinevirtual |
Predict rating or score for a given user-item combination
- Parameters
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user_id | the user ID |
item_id | the item ID |
- Returns
- the predicted score/rating for the given user-item combination
Implements Recommender.
IList<Tuple<int, float> > Recommend |
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int |
user_id, |
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int |
n = -1 , |
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ICollection< int > |
ignore_items = null , |
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ICollection< int > |
candidate_items = null |
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) |
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inherited |
Recommend items for a given user
- Parameters
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user_id | the user ID |
n | the number of items to recommend, -1 for as many as possible |
ignore_items | collection if items that should not be returned; if null, use empty collection |
candidate_items | the candidate items to choose from; if null, use all items |
- Returns
- a sorted list of (item_id, score) tuples
Implemented in WeightedEnsemble, and Ensemble.
override void SaveModel |
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string |
filename | ) |
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inlinevirtual |
Save the model parameters to a file
- Parameters
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filename | the name of the file to write to |
Reimplemented from Recommender.
override string ToString |
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inlineinherited |
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.
Learn the model parameters of the recommender from the training data
Implements Recommender.
The documentation for this class was generated from the following file: