Abstract

Most content sharing websites allow users to enter their privacy preferences. Unfortunately, recent studies have shown that users struggle to set up and maintain such privacy settings. In this paper, we propose an Adaptive Privacy Policy Prediction (A3P) system which aims to provide users a hassle free privacy settings experience by automatically generating personalized policies. The A3P system handles user uploaded images, and factors in the following criteria that influence one’s privacy settings of images. We design the interaction flows between the two building blocks to balance the benefits from meeting personal characteristics and obtaining community advice. Keywords- PPDM, Vector Quantization, A3P, Data Mining, APP, Prediction.