Evolutionary programming based recommendation system for online shopping

Jehan Jung, Yuka Matsuba, Rammohan Mallipeddi, Hiroyuki Funaya, Kazushi Ikeda, Minho Lee
2013 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference  
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 other
more » ... ds, the human preference can be measured by using the fixation count and the fixation length using an eye tracking system. Based on the level of human preference, the evolutionary programming suggests new clothes that close the human preference by operations such as selection and mutation. The proposed recommendation is tested with several human subjects and the experimental results are demonstrated. I.
doi:10.1109/apsipa.2013.6694236 dblp:conf/apsipa/JungMMFIL13 fatcat:zlaeu6nhgzbhza3kyf6djfebxi