binaryRatingMatrix-class | Class "binaryRatingMatrix": A Binary Rating Matrix |
calcPredictionAccuracy | Calculate the Prediction Error for a Recommendation |
dissimilarity | Dissimilarity and Similarity Calculation Between Rating Data |
error | Error Calculation |
evaluate | Evaluate a Recommender Models |
evaluationResultList-class | Class "evaluationResultList": Results of the Evaluation of a... |
evaluationResults-class | Class "evaluationResults": Results of the Evaluation of a... |
evaluationScheme | Creator Function for evaluationScheme |
evaluationScheme-class | Class "evaluationScheme": Evaluation Scheme |
funkSVD | Funk SVD for Matrices with Missing Data |
getList | List and Data.frame Representation for Recommender Matrix... |
HybridRecommender | Create a Hybrid Recommender |
internal | Internal Utility Functions |
Jester5k | Jester dataset (5k sample) |
MovieLense | MovieLense Dataset (100k) |
MSWeb | Anonymous web data from www.microsoft.com |
normalize | Normalize the ratings |
plot | Plot Evaluation Results |
predict | Predict Recommendations |
ratingMatrix-class | Class "ratingMatrix": Virtual Class for Rating Data |
realRatingMatrix-class | Class "realRatingMatrix": Real-valued Rating Matrix |
Recommender | Create a Recommender Model |
Recommender-class | Class "Recommender": A Recommender Model |
sparseNAMatrix | Sparse Matrix Representation With NAs Not Explicitly Stored |
topNList-class | Class "topNList": Top-N List |
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