Service Recommendation with High Accuracy and Diversity

Algorithm 1: Explore users’ preferences approximately.

Input:

 WS_u1, WS_u2,…, WS_uM: web services used by a user.

 r₁, r₂,…, r_M: the rating scores.

 : the threshold.

Output:

 P: a set.

1.for to do//assume there are modules

2.   = count(WS_ui)

3.  for to do

4.    = count(WS_ui)

5.   

6.  end for

7.  Calculate according to equation (1)

8.  if

9.   then add to P

10.  end if

11.end for

12.return P

Algorithm 1: Explore users’ preferences approximately.