Collective Matrix Factorization for Recommender Systems

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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