A Formal Model for User Preference Sung Young Jung, Jeong-Hee Hong, and Taek-Soo Kim   View Paper (PDF)   Return to Main-Track Regular Papers Abstract Personalization and recommendation systems require formalized model for user preference. This paper presents the formal model of preference including positive preference and negative preference. For rare events, we apply the probability of random occurrence in order to reduce noise effects caused by data sparseness. Pareto distribution is adopted for the random occurrence probability. We also present the method for combining information of joint feature variables in different sizes by dynamic weighting using random occurrence probability. DiSC'03 © 2003 Association for Computing Machinery