A Formal Model for User Preference

Authors:
Sung Young Jung;Jeong-Hee Hong;Taek-Soo Kim
Affiliations:
-;-;-
Venue:
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Year:
2002

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Abstract

Personalization and recommendation systems requireformalized model for user preference. This paper presentsthe formal model of preference including positivepreference and negative preference. For rare events, weapply the probability of random occurrence in order toreduce noise effects caused by data sparseness. Paretodistribution is adopted for the random occurrenceprobability. We also present the method for combininginformation of joint feature variables in different sizes bydynamic weighting using random occurrence probability.