Description Usage Arguments Value Author(s) Examples
View source: R/anime_functions.R
Create the user_item matrix from the given data. We use 'adding_row = TRUE' for the user based recommendation to be able to add the user selected data to the table
1 2 3 4 5 | user_item_matrix(
data = anime_with_ratings,
adding_row = FALSE,
row_data = NULL
)
|
data |
data having the user ratings per anime |
adding_row |
Variable that is either TRUE if you want the matrix for the user-based recommendation or FALSE if you want the matrix for the item-based recommendation |
row_data |
table created by the function 'user_data()' |
Return a matrix where the x axis include the item_id and the y axis include the user_id. Each line is the score per item per user
Marie Bellier, Massimo Finini, Meri Likoska, Vania Rodrigues Telo Ramos, Xavier Renger
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 | #import datasets from the package
anime_with_ratings <- tibble::tibble(ProjectG5::anime_with_ratings)
anime <- tibble::tibble(ProjectG5::anime)
#creation of the matrix without adding rows
x <- user_item_matrix(anime_with_ratings, adding_row = FALSE)
#not printed there output would be too long
#creation of a table to add rows, userid high on a voluntary basis
#selection of the user example
names_selected <- c("Death Note", "Naruto")
score_entered <- c(10,7)
temp_tibble <- tibble::tibble(Name = names_selected, rating = score_entered)
anime_selected <- dplyr::left_join(anime, temp_tibble, by = c("Name" = "Name"))
anime_selected <- dplyr::filter(anime_selected, Name %in% names_selected)
anime_selected <- dplyr::mutate(anime_selected, user_id = 999999999)
#creation of the matrix while adding rows
z <- user_item_matrix(anime_with_ratings, adding_row = TRUE, row_data = anime_selected)
#not printed here, output would be too long
|
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