A Heuristic Model for Supporting Users’ Decision-Making in Privacy Disclosure for Recommendation

Algorithm 2

Calculation of correlation coefficient.

Input: Dataset of participants’ answer vectors

Output: Correlation coefficient matrix (CCM)

(1) for all vectors , where

(2) m   number of participants // store the population

(3) if some values of a_i are missing // make sure no values miss

(4) // calculate by approximating

(5)

(6) all values of C_ai and plot // ready for coefficient calculation

(7) for each two points (i, C_a,i) and (j, C_a,j):

(8) calculate the tilt angle

(9) Set // results for low correlation

(10) Set // results for high correlation

(11) for all the values TA_i,j// all results should be calculated

(12) if

(13) // adding low correlation results

(14) else if

(15) adding high correlation results