Summary method for Collaborative Filter

Summary method for Collaborative Filter

# S3 method for crs
summary(object, n = 36, dec = 2, ...)

Arguments

object	Return value from crs
n	Number of lines of recommendations to print. Use -1 to print all lines
dec	Number of decimals to show
...	further arguments passed to or from other methods

Details

See https://radiant-rstats.github.io/docs/model/crs.html for an example in Radiant

See also

crs to generate the results

plot.crs to plot results if the actual ratings are available

Examples

crs(ratings, id = "Users", prod = "Movies", pred = c("M6", "M7", "M8", "M9", "M10"),
    rate = "Ratings", data_filter = "training == 1") %>% summary()
#> Collaborative filtering
#> Data       : ratings
#> Filter     : training == 1
#> User id    : Users
#> Product id : Movies
#> Predict for: M6, M7, M8, M9, M10 
#> 
#> Recommendations:
#> 
#>  Users product rating average   cf ranking avg_rank cf_rank
#>    U11      M6           3.30 4.10                3       1
#>    U11      M7           2.70 2.08                5       4
#>    U11      M8           3.50 1.70                2       5
#>    U11      M9           2.90 2.13                4       3
#>    U11     M10           4.10 2.71                1       2