How to Learn Fuzzy User Preferences with Variable Objectives

Abstrakt

This paper studies a possibility to learn a complex user preference model, based on CP-nets, from user ratings. This work is motivated by the need of user modelling in decision making support, for example in e-commerce. We extend our user model based on fuzzy logic to capture variation of preference objectives. The proposed method 2CP-regression is described and tested. 2CPregression uses CP-nets idea behind and can be considered as learning of a simple CP-net from user ratings.