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Packages that use RatingArrays | |
org.recommender.algorithms | A wide variety of different implementations of collaborative filtering recommendation and precition algorithms are provided. |
org.recommender.server | This package contains the core Java recommender server code, including the database access code, the ratings caching code, and code that instantiates algorithms. |
Uses of RatingArrays in org.recommender.algorithms |
Methods in org.recommender.algorithms with parameters of type RatingArrays | |
SimilarityWeight |
SimplePearsonAlgorithm.getWeight(RatingArrays activeUserRatings,
int neighbor,
int itemId)
Calculate CorrelationCoeff for an item between the activeuser and one neighbor. |
Uses of RatingArrays in org.recommender.server |
Methods in org.recommender.server that return RatingArrays | |
RatingArrays |
UserInfo.getRatings()
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Methods in org.recommender.server with parameters of type RatingArrays | |
void |
UserInfo.setRatings(RatingArrays ratings)
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Constructors in org.recommender.server with parameters of type RatingArrays | |
UserInfo(int ID,
RatingArrays ratings,
float mean,
float SD)
Constructor with params of userID, ratings, mean and standard deviation. |
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UserInfo(int ID,
RatingArrays ratings,
float mean,
float SD,
boolean sampling)
Constructor with params of userID, ratings, mean and standard deviation. |
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