Recommend
Convert Rating Matrix/Normalize RatingMatrix/Pair Down Matrix/Gen. evaluationScheme/Evaluate a Recommender/IBCF/UBCF
Convert Rating Matrix
Input Data
Before using the Recommender, the data should be converted into User-Item Rating matrix form.
Normalize RatingMatrix
Input Data
Pair Down Matrix
Used to filter the data for recommendation
Input Data
Gen.EvaluationScheme
Creates an evaluation scheme object from User-Item Rating matrix.
Input Data
Evaluate a Recommender
Evaluates a single or a list of recommender model given an evaluation scheme.
Input Data
Variable Attributes
Model Name: name the evaluation model
Type: Type of the evaluation model ex) ALS, ALS_implicit, POPULAR, topNList etc.
Parameter: a list with parameters for the recommender algorithm (default=NULL)
IBCF(binaryRating) & IBCF(realRating)& UBCF(binaryRating)& UBCF(realRating)
IBCF(item-based collaborative filtering) model
UBCF(user-based collaborative filtering) model
Input Data
Workflow Example
R-Flow Task Example Video - Recommend
R-Package
Convert Rating Matrix& Normalize RatingMatrix https://www.rdocumentation.org/packages/recommenderlab/versions/0.2-6/topics/realRatingMatrix
Pair Down Matrix: https://www.rdocumentation.org/packages/recommenderlab/versions/0.2-6/topics/ratingMatrix
Gen.EvaluationScheme: https://www.rdocumentation.org/packages/recommenderlab/versions/0.2-6/topics/evaluationScheme
Evaluate a Recommender: https://www.rdocumentation.org/packages/recommenderlab/versions/0.2-6/topics/evaluate
IBCF(binaryRating) & IBCF(realRating)& UBCF(binaryRating)& UBCF(realRating) : https://www.rdocumentation.org/packages/recommenderlab/versions/0.2-6
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