Aggregated Recommendation through Random Forests

Algorithm 2

Random forest.

Input: size  of  forest  (N),  condition  attributes  (C),  decision  attribute  (d)

Output:

Method:

(1) generate  aggregated  training     and  testing     set

(2)

(3) while       do

(4)  randomize  C

(5)  , ,

(6)  

(7) end while

(8)

(9) return