Mobile Personalized Service Recommender Model Based on Sentiment Analysis and Privacy Concern
Algorithm 3
User similarity calculation based on personality traits integrating with privacy preference.
Input: Mobile user , privacy preference vector , personality trait vector , and score matrix of “user-personality traits” :
Output: .
(1)
It obtains users’ basic data of personality traits through the questionnaire of “personality assessment of mobile user” :
(2)
It calculates the comprehensive value of users’ personality traits under privacy concern through data of mobile network behavior :
(3)
Then, it uses the following equation to compute user similarity based on . Among them, user and are the personality trait vectors integrating with privacy concern:
