How to predict items for new users based on a implicit CMFREC Model? (R)

[DanielRauser]

How to predict items for new users based on a implicit CMFREC Model? (R)

[david-cortes]

In your screenshot, it looks like you haven't loaded the library with library(cmfrec). In the example code, looks like you are passing a different object at the end.

This library doesn't do multiple topN predictions btw.

[DanielRauser]

Hello,

sorry for the mistake. Here you see the fixed code. But I still have an error message.

Best regards,

Daniel

library(cmfrec)

X <- as.coo.matrix(Matrix_model_4@data)

reco_split <- create.reco.train.test(
    X,
    users_test_fraction = 0.2,
    items_test_fraction = 0.3,
    min_pos_test = 2,
    seed = 123
)

X_train <- reco_split$X_train ## Train data for test users
X_test <- reco_split$X_test ## Test data for test users
X_rem <- reco_split$X_rem ## Data to fit the model
users_test <- reco_split$users_test ## IDs of the test users

### Random recommendations (random latent factors)
set.seed(123)
UserFactors_random <- matrix(rnorm(nrow(X_test) * 5), nrow=5)
ItemFactors_random <- matrix(rnorm(ncol(X_test) * 5), nrow=5)

### Non-personalized recommendations
model_baseline <- cmfrec::MostPopular(as.coo.matrix(X_rem), implicit=TRUE)
item_biases <- model_baseline$matrices$item_bias


model_iALS <- CMF_implicit(as.coo.matrix(X_rem), k=16, lambda = 0.1, alpha = 0.01, niter = 16L)

pred_iALS <- predict(model_iALS, X_test)

[david-cortes]

It looks like you're trying to pass a dgRMatrix to predict, which is not supported (only dgTMatrix). You can check the docs for more details. It also looks like you are using an older version of this package as I'd see a different error if I try to execute your code.