Lab for Developing and Testing Recommender Algorithms

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Documentation for package ‘recommenderlab’ version 1.0.6

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A B C D E F G H I J L M N P R S T misc

-- A --

avg Class "evaluationResults": Results of the Evaluation of a Single Recommender Method
avg-method Class "evaluationResultList": Results of the Evaluation of a Multiple Recommender Methods
avg-method Class "evaluationResults": Results of the Evaluation of a Single Recommender Method

-- B --

bestN Class "topNList": Top-N List
bestN-method Class "topNList": Top-N List
binarize Class "realRatingMatrix": Real-valued Rating Matrix
binarize-method Class "realRatingMatrix": Real-valued Rating Matrix
binaryRatingMatrix Class "binaryRatingMatrix": A Binary Rating Matrix
binaryRatingMatrix-class Class "binaryRatingMatrix": A Binary Rating Matrix

-- C --

c-method Class "topNList": Top-N List
calcPredictionAccuracy Calculate the Prediction Error for a Recommendation
calcPredictionAccuracy-method Calculate the Prediction Error for a Recommendation
coerce-method Class "binaryRatingMatrix": A Binary Rating Matrix
coerce-method Class "evaluationResultList": Results of the Evaluation of a Multiple Recommender Methods
coerce-method Class "ratingMatrix": Virtual Class for Rating Data
coerce-method Class "realRatingMatrix": Real-valued Rating Matrix
coerce-method Class "topNList": Top-N List
colCounts Class "ratingMatrix": Virtual Class for Rating Data
colCounts-method Class "ratingMatrix": Virtual Class for Rating Data
colCounts-method Class "topNList": Top-N List
colMeans-method Class "ratingMatrix": Virtual Class for Rating Data
colSds Class "realRatingMatrix": Real-valued Rating Matrix
colSds-method Class "realRatingMatrix": Real-valued Rating Matrix
confusionMatrix-class Class "evaluationResults": Results of the Evaluation of a Single Recommender Method

-- D --

denormalize Normalize the ratings
denormalize-method Normalize the ratings
dim-method Class "ratingMatrix": Virtual Class for Rating Data
dimnames-method Class "ratingMatrix": Virtual Class for Rating Data
dimnames<--method Class "ratingMatrix": Virtual Class for Rating Data
dissimilarity Dissimilarity and Similarity Calculation Between Rating Data
dissimilarity-method Dissimilarity and Similarity Calculation Between Rating Data
dropNA Sparse Matrix Representation With NAs Not Explicitly Stored
dropNA2matrix Sparse Matrix Representation With NAs Not Explicitly Stored
dropNAis.na Sparse Matrix Representation With NAs Not Explicitly Stored

-- E --

evaluate Evaluate a Recommender Models
evaluate-method Evaluate a Recommender Models
evaluationResultList-class Class "evaluationResultList": Results of the Evaluation of a Multiple Recommender Methods
evaluationResults-class Class "evaluationResults": Results of the Evaluation of a Single Recommender Method
evaluationScheme Creator Function for evaluationScheme
evaluationScheme-class Class "evaluationScheme": Evaluation Scheme
evaluationScheme-method Creator Function for evaluationScheme

-- F --

frobenius Error Calculation
funkSVD Funk SVD for Matrices with Missing Data

-- G --

getConfusionMatrix Class "evaluationResults": Results of the Evaluation of a Single Recommender Method
getConfusionMatrix-method Class "evaluationResults": Results of the Evaluation of a Single Recommender Method
getData Class "evaluationScheme": Evaluation Scheme
getData-method Class "evaluationScheme": Evaluation Scheme
getData.frame List and Data.frame Representation for Recommender Matrix Objects
getData.frame-method List and Data.frame Representation for Recommender Matrix Objects
getList List and Data.frame Representation for Recommender Matrix Objects
getList-method List and Data.frame Representation for Recommender Matrix Objects
getModel Class "evaluationResults": Results of the Evaluation of a Single Recommender Method
getModel-method Create a Recommender Model
getModel-method Class "evaluationResults": Results of the Evaluation of a Single Recommender Method
getNormalize Class "ratingMatrix": Virtual Class for Rating Data
getNormalize-method Class "ratingMatrix": Virtual Class for Rating Data
getParameters Internal Utility Functions
getRatingMatrix Class "ratingMatrix": Virtual Class for Rating Data
getRatingMatrix-method Class "ratingMatrix": Virtual Class for Rating Data
getRatings Class "ratingMatrix": Virtual Class for Rating Data
getRatings-method Class "ratingMatrix": Virtual Class for Rating Data
getResults Class "evaluationResults": Results of the Evaluation of a Single Recommender Method
getResults-method Class "evaluationResults": Results of the Evaluation of a Single Recommender Method
getRuns Class "evaluationResults": Results of the Evaluation of a Single Recommender Method
getRuns-method Class "evaluationResults": Results of the Evaluation of a Single Recommender Method
getTopNLists Class "realRatingMatrix": Real-valued Rating Matrix
getTopNLists-method Class "realRatingMatrix": Real-valued Rating Matrix

-- H --

hasRating Class "ratingMatrix": Virtual Class for Rating Data
hasRating-method Class "ratingMatrix": Virtual Class for Rating Data
HybridRecommender Create a Hybrid Recommender

-- I --

image-method Class "ratingMatrix": Virtual Class for Rating Data

-- J --

Jester5k Jester dataset (5k sample)
JesterJokes Jester dataset (5k sample)

-- L --

length-method Class "topNList": Top-N List

-- M --

MAE Error Calculation
MovieLense MovieLense Dataset (100k)
MovieLenseMeta MovieLense Dataset (100k)
MovieLenseUser MovieLense Dataset (100k)
MSE Error Calculation
MSWeb Anonymous web data from www.microsoft.com

-- N --

normalize Normalize the ratings
normalize-method Normalize the ratings
nratings Class "ratingMatrix": Virtual Class for Rating Data
nratings-method Class "ratingMatrix": Virtual Class for Rating Data

-- P --

plot Plot Evaluation Results
plot-method Plot Evaluation Results
predict Predict Recommendations
predict-method Predict Recommendations
predict.funkSVD Funk SVD for Matrices with Missing Data

-- R --

ratingMatrix Class "ratingMatrix": Virtual Class for Rating Data
ratingMatrix-class Class "ratingMatrix": Virtual Class for Rating Data
realRatingMatrix Class "realRatingMatrix": Real-valued Rating Matrix
realRatingMatrix-class Class "realRatingMatrix": Real-valued Rating Matrix
Recommender Create a Recommender Model
Recommender-class Class "Recommender": A Recommender Model
Recommender-method Create a Recommender Model
recommenderRegistry Create a Recommender Model
removeKnownItems Class "topNList": Top-N List
removeKnownItems-method Class "topNList": Top-N List
removeKnownRatings Class "realRatingMatrix": Real-valued Rating Matrix
removeKnownRatings-method Class "realRatingMatrix": Real-valued Rating Matrix
returnRatings Internal Utility Functions
RMSE Error Calculation
rowCounts Class "ratingMatrix": Virtual Class for Rating Data
rowCounts-method Class "ratingMatrix": Virtual Class for Rating Data
rowCounts-method Class "topNList": Top-N List
rowMeans-method Class "ratingMatrix": Virtual Class for Rating Data
rowSds Class "realRatingMatrix": Real-valued Rating Matrix
rowSds-method Class "realRatingMatrix": Real-valued Rating Matrix

-- S --

sample-method Class "ratingMatrix": Virtual Class for Rating Data
show-method Class "Recommender": A Recommender Model
show-method Class "evaluationResultList": Results of the Evaluation of a Multiple Recommender Methods
show-method Class "evaluationResults": Results of the Evaluation of a Single Recommender Method
show-method Class "evaluationScheme": Evaluation Scheme
show-method Class "ratingMatrix": Virtual Class for Rating Data
show-method Class "topNList": Top-N List
similarity Dissimilarity and Similarity Calculation Between Rating Data
similarity-method Dissimilarity and Similarity Calculation Between Rating Data

-- T --

topNList Class "topNList": Top-N List
topNList-class Class "topNList": Top-N List

-- misc --

[-method Class "evaluationResultList": Results of the Evaluation of a Multiple Recommender Methods
[-method Class "ratingMatrix": Virtual Class for Rating Data
[<--method Class "realRatingMatrix": Real-valued Rating Matrix