Enhancing Collaborative Filtering by User-User Covariance Matrix

Algorithm 1

CFCM .

Input: and , where is the user-item rating matrix and denotes a target user.

Output: Result, i.e., the recommendation list for .

1:   Result ≔ ; ≔ ⌀; ≔ ⌀; Orderlist≔ ⌀;

2:   build the user-user covariance matrix based on ;

3:    ≔ GetKSimilarUser();

4:    ≔ GetKDSimilarUser();

5:   for    do

6:    ;

7:    insert into Orderlist in descending order of ;

8:   end for

9:   Result ≔ GetFirstn(Orderlist)

10: return  Result;