Title :
A formal model for user preference
Author :
Sung Young Jung ; Hong, Jeong-Hee ; Kim, Taek-Soo
Author_Institution :
Machine Intelligence Group, LG Electron. Inst. of Technol., Seoul, South Korea
Abstract :
Personalization and recommendation systems require a formalized model for user preference. We present 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.
Keywords :
Pareto distribution; data mining; electronic commerce; information resources; user modelling; Pareto distribution; data mining; data sparseness; dynamic weighting; e-commerce; formal model; negative preference; noise effects; personalization; positive preference; random occurrence; random occurrence probability; rare events; recommendation systems; user preference model; Collaboration; Decision theory; History; Information filtering; Information filters; Lungs; Machine intelligence; Navigation; Noise reduction; Training data;
Conference_Titel :
Data Mining, 2002. ICDM 2003. Proceedings. 2002 IEEE International Conference on
Print_ISBN :
0-7695-1754-4
DOI :
10.1109/ICDM.2002.1183908
