Man pages for cmfrec
Collective Matrix Factorization for Recommender Systems
| CMF.from.model.matrices | Create a CMF model object from fitted matrices |
| drop.nonessential.matrices | Drop matrices that are not used for prediction |
| factors | Calculate latent factors on new data |
| factors_single | Calculate latent factors for a new user |
| fit | Matrix Factorization Models |
| imputeX | Impute missing entries in 'X' data |
| item_factors | Determine latent factors for a new item |
| 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_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 |
