Similarity between anime

Use the user item matrix to search for similar anime

item_recommendation(
  selected_item_name,
  user_item_matrix,
  n_recommendation,
  data
)

Arguments

selected_item_name	selection of the user in the Shiny App
user_item_matrix	matrix created by the function `user_item_matrix`
n_recommendation	number of recommendation wanted by the user
data	table of all anime

Value

Return a table composed of `n_recommendation` that the user have not seen yet

Author

Marie Bellier, Massimo Finini, Meri Likoska, Vania Rodrigues Telo Ramos, Xavier Renger

Examples

#Simple example to showcase what is happening in the application

#User selection
selected_item_name = "Naruto"

#first create the item matrix
anime <-  tibble::tibble(ProjectG5::anime)
anime_with_ratings <-  tibble::tibble(ProjectG5::anime_with_ratings)
item_matrix <- user_item_matrix(anime_with_ratings, adding_row = FALSE)

#then use it to run the function
item_recommendation(selected_item_name, item_matrix, 5, anime)
#> # A tibble: 5 x 5
#>   item_id Name             Episodes Duration similarity
#>   <chr>   <chr>            <chr>       <int>      <dbl>
#> 1 ID1735  Naruto:Shippuden 500            23      0.911
#> 2 ID269   Bleach           366            24      0.876
#> 3 ID1535  Death Note       37             23      0.862
#> 4 ID16498 Attack on Titan  25             24      0.848
#> 5 ID11757 Sword Art Online 25             23      0.843