MyMediaLite  3.11
Public Member Functions | Protected Member Functions | Properties | List of all members
MostPopular Class Reference

Most-popular item recommender More...

Inheritance diagram for MostPopular:
IncrementalItemRecommender ItemRecommender IIncrementalItemRecommender Recommender IIncrementalRecommender IRecommender

Public Member Functions

override void AddFeedback (ICollection< Tuple< int, int >> feedback)
 Add positive feedback events and perform incremental training More...
 
virtual 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...
 
Object Clone ()
 create a shallow copy of the object More...
 
override void LoadModel (string filename)
 Get the model parameters from a file More...
 
 MostPopular ()
 Default constructor More...
 
override float Predict (int user_id, int item_id)
 Predict rating or score for a given user-item combination More...
 
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...
 
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)
 
override void RemoveFeedback (ICollection< Tuple< int, int >> feedback)
 Remove all feedback events by the given user-item combinations More...
 
override void RemoveItem (int item_id)
 Remove all feedback by one item More...
 
override void RemoveUser (int user_id)
 Remove all feedback by one user More...
 
override void SaveModel (string filename)
 Save the model parameters to a file More...
 
override string ToString ()
 Return a string representation of the recommender More...
 
override void Train ()
 Learn the model parameters of the recommender from the training data More...
 

Protected Member Functions

override void AddItem (int item_id)
 
virtual void AddUser (int user_id)
 

Properties

bool ByUser [get, set]
 If true, the popularity of an item is measured by the number of unique users that have accessed it. If false, the popularity is measured by the number of accesses to the item. More...
 
virtual IPosOnlyFeedback Feedback [get, set]
 the feedback data to be used for training More...
 
int MaxItemID [get, set]
 Maximum item ID More...
 
int MaxUserID [get, set]
 Maximum user ID More...
 
bool UpdateItems [get, set]
 
bool UpdateUsers [get, set]
 

Detailed Description

Most-popular item recommender

Items are weighted by how often they have been seen in the past.

This method is not personalized.

This recommender supports incremental updates.

Constructor & Destructor Documentation

MostPopular ( )
inline

Default constructor

Member Function Documentation

override void AddFeedback ( ICollection< Tuple< int, int >>  feedback)
inlinevirtual

Add positive feedback events and perform incremental training

Parameters
feedbackcollection of user id - item id tuples

Reimplemented from IncrementalItemRecommender.

virtual bool CanPredict ( int  user_id,
int  item_id 
)
inlinevirtualinherited

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_idthe user ID
item_idthe item ID
Returns
true if a useful prediction can be made, false otherwise

Implements IRecommender.

Reimplemented in ExternalItemRecommender, ExternalRatingPredictor, BiPolarSlopeOne, SlopeOne, Constant, GlobalAverage, UserAverage, ItemAverage, and Random.

Object Clone ( )
inlineinherited

create a shallow copy of the object

override void LoadModel ( string  filename)
inlinevirtual

Get the model parameters from a file

Parameters
filenamethe name of the file to read from

Reimplemented from Recommender.

override float Predict ( int  user_id,
int  item_id 
)
inlinevirtual

Predict rating or score for a given user-item combination

Parameters
user_idthe user ID
item_idthe item ID
Returns
the predicted score/rating for the given user-item combination

Implements Recommender.

IList<Tuple<int, float> > Recommend ( int  user_id,
int  n = -1,
ICollection< int >  ignore_items = null,
ICollection< int >  candidate_items = null 
)
inherited

Recommend items for a given user

Parameters
user_idthe user ID
nthe number of items to recommend, -1 for as many as possible
ignore_itemscollection if items that should not be returned; if null, use empty collection
candidate_itemsthe 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 RemoveFeedback ( ICollection< Tuple< int, int >>  feedback)
inlinevirtual

Remove all feedback events by the given user-item combinations

Parameters
feedbackcollection of user id - item id tuples

Reimplemented from IncrementalItemRecommender.

override void RemoveItem ( int  item_id)
inlinevirtual

Remove all feedback by one item

Parameters
item_idthe item ID

Reimplemented from IncrementalItemRecommender.

override void RemoveUser ( int  user_id)
inlinevirtual

Remove all feedback by one user

Parameters
user_idthe user ID

Reimplemented from IncrementalItemRecommender.

override void SaveModel ( string  filename)
inlinevirtual

Save the model parameters to a file

Parameters
filenamethe name of the file to write to

Reimplemented from Recommender.

override string ToString ( )
inline

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.

override void Train ( )
inlinevirtual

Learn the model parameters of the recommender from the training data

Implements Recommender.

Property Documentation

bool ByUser
getset

If true, the popularity of an item is measured by the number of unique users that have accessed it. If false, the popularity is measured by the number of accesses to the item.

virtual IPosOnlyFeedback Feedback
getsetinherited

the feedback data to be used for training

int MaxItemID
getsetinherited

Maximum item ID

int MaxUserID
getsetinherited

Maximum user ID


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