Abstract
In this paper, we give out the design and implementation of a personal fashion style recommendation system. The user style preference modeling was based on not only the macroscopic Interactive Genetic Algorithm based preference fitting but also the microscopic psychological factor adjustment. By integrating the psychological decision making model into user preference modeling, the system intends to approach a human like decision making in terms of the decision context. Experiments on the subjects from both fashion and non fashion professionals show the effectiveness of the model.
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© 2011 Springer Science+Business Media B.V.
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Li, J., Zhong, X., Li, Y. (2011). A Psychological Decision Making Model Based Personal Fashion Style Recommendation System. In: Park, J., Jin, H., Liao, X., Zheng, R. (eds) Proceedings of the International Conference on Human-centric Computing 2011 and Embedded and Multimedia Computing 2011. Lecture Notes in Electrical Engineering, vol 102. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-2105-0_8
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DOI: https://doi.org/10.1007/978-94-007-2105-0_8
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