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In this paper, we propose an interactive evolutionary programming based recommendation system for online shopping that estimates the human preference based on eye movement analysis. Given a set of images of different clothes, the eye movement patterns of the human subjects while looking at the clothes they like differ from clothes they do not like. Therefore, in the proposed system, human preference is measured from the way the human subjects look at the images of different clothes. In otherdoi:10.1109/apsipa.2013.6694236 dblp:conf/apsipa/JungMMFIL13 fatcat:zlaeu6nhgzbhza3kyf6djfebxi