R: Collective Matrix Factorization for Recommender Systems

# Collective Matrix Factorization for Recommender Systems

## Documentation for package ‘cmfrec’ version 3.5.1-3

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

cmfrec-package | cmfrec package
CMF | Matrix Factorization Models
CMF.from.model.matrices | Create a CMF model object from fitted matrices
cmfrec | cmfrec package
CMF_implicit | Matrix Factorization Models
ContentBased | Matrix Factorization Models
drop.nonessential.matrices | Drop matrices that are not used for prediction
factors | Calculate latent factors on new data
factors.CMF | Calculate latent factors on new data
factors.CMF_implicit | Calculate latent factors on new data
factors.ContentBased | Calculate latent factors on new data
factors.OMF_explicit | Calculate latent factors on new data
factors.OMF_implicit | Calculate latent factors on new data
factors_single | Calculate latent factors for a new user
factors_single.CMF | Calculate latent factors for a new user
factors_single.CMF_implicit | Calculate latent factors for a new user
factors_single.ContentBased | Calculate latent factors for a new user
factors_single.OMF_explicit | Calculate latent factors for a new user
factors_single.OMF_implicit | Calculate latent factors for a new user
fit_models | Matrix Factorization Models
imputeX | Impute missing entries in 'X' data
item_factors | Determine latent factors for a new item
MostPopular | Matrix Factorization Models
OMF_explicit | Matrix Factorization Models
OMF_implicit | Matrix Factorization Models
precompute.for.predictions | Precompute matrices to use for predictions
predict.cmfrec | Predict entries in the factorized 'X' matrix
predict_new | Predict entries in new 'X' data
predict_new.CMF | Predict entries in new 'X' data
predict_new.CMF_implicit | Predict entries in new 'X' data
predict_new.ContentBased | Predict entries in new 'X' data
predict_new.OMF_explicit | Predict entries in new 'X' data
predict_new.OMF_implicit | Predict entries in new 'X' data
predict_new_items | Predict new columns of 'X' given item attributes
print.cmfrec | Get information about factorization model
summary.cmfrec | Get information about factorization model
swap.users.and.items | Swap users and items in the model
topN | Calulate top-N predictions for a new or existing user
topN_new | Calulate top-N predictions for a new or existing user
topN_new.CMF | Calulate top-N predictions for a new or existing user
topN_new.CMF_implicit | Calulate top-N predictions for a new or existing user
topN_new.ContentBased | Calulate top-N predictions for a new or existing user
topN_new.OMF_explicit | Calulate top-N predictions for a new or existing user
topN_new.OMF_implicit | Calulate top-N predictions for a new or existing user