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.

Variables	Inputs
Target Data	Data input
Matrix Name	Name of the matrix after conversion (fill it out at your discretion)
Matrix Type	Select either 'Real Rating' or 'Binary Rating'
User	User data
Item	Item data
Rating	Rating data

[Task Information of Convert Rating Matrix]

Normalize RatingMatrix

Input Data

	Inputs
Target Data	Input data of User-Item Rating Matrix Form
Matrix Name	Name of the output after normalization (fill it out at your discretion)

[Task Information of Normalize RatingMatrix]

Pair Down Matrix

Used to filter the data for recommendation

Input Data

	Inputs
Rating Matrix	Input data of User-Item Rating Matrix Form
Output RatingMatrix	Output Rating matrix
Arguments	count/mean/sum of user's rating data selected by User (selected data will be included in the Output Rating Matrix)

[Task Information of Pair Down Matrix]

Gen.EvaluationScheme

Creates an evaluation scheme object from User-Item Rating matrix.

Input Data

	Inputs
Rating Matrix	Input data of User-Item Rating Matrix Form
eva. Scheme Name	Name of an evaluation scheme object created from a dataset (fill it out at your discretion)

[Task Information of Gen. evaluatingScheme]

Evaluate a Recommender

Evaluates a single or a list of recommender model given an evaluation scheme.

Input Data

	Inputs
evaluationScheme	Input data of User-Item Rating Matrix Form
evaluate Name	Name of an evaluation scheme object created from a dataset (fill it out at your discretion)

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)

[Task Information for Evaluate a Recommender]

IBCF(binaryRating) & IBCF(realRating)& UBCF(binaryRating)& UBCF(realRating)

IBCF(item-based collaborative filtering) model

UBCF(user-based collaborative filtering) model

Input Data

	Inputs
Matrix Name	Input data of User-Item Rating Matrix Form
Model Name	Name of an collaborative filtering model (fill it out at your discretion)

[Task Information of IBCF (binaryRating)]

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