C# 클래스 MyMediaLite.RatingPrediction.NewKNN

kNN-based rating predictors (not working yet)

The method is described in section 2.2 of Yehuda Koren Factor in the Neighbors: Scalable and Accurate Collaborative Filtering Transactions on Knowledge Discovery from Data (TKDD), 2009 This recommender does NOT support incremental updates. ItemRecommendation.KNN

상속: UserItemBaseline

파일 보기 프로젝트 열기: zenogantner/MML-KDD

공개 메소드들

메소드	설명
LoadModel ( string filename ) : void
NewKNN ( ) : System	Constructor
Predict ( int user_id, int item_id ) : double	Predict the rating of a given user for a given item If the user or the item are not known to the recommender, a suitable average rating is returned. To avoid this behavior for unknown entities, use CanPredict() to check before.
SaveModel ( string filename ) : void
ToString ( ) : string
Train ( ) : void

비공개 메소드들

메소드	설명
CreateSimilarityMatrix ( string typename ) : void

메소드 상세

LoadModel() 공개 메소드

public LoadModel ( string filename ) : void
filename	string
리턴	void

NewKNN() 공개 메소드

Constructor

public NewKNN ( ) : System
리턴	System

Predict() 공개 메소드

Predict the rating of a given user for a given item

If the user or the item are not known to the recommender, a suitable average rating is returned. To avoid this behavior for unknown entities, use CanPredict() to check before.

public Predict ( int user_id, int item_id ) : double
user_id	int	the user ID
item_id	int	the item ID
리턴	double

SaveModel() 공개 메소드

public SaveModel ( string filename ) : void
filename	string
리턴	void

ToString() 공개 메소드

public ToString ( ) : string
리턴	string

Train() 공개 메소드

public Train ( ) : void
리턴	void