TY - GEN
T1 - Evolutionary programming based recommendation system for online shopping
AU - Jung, Jehan
AU - Matsuba, Yuka
AU - Mallipeddi, Rammohan
AU - Funaya, Hiroyuki
AU - Ikeda, Kazushi
AU - Lee, Minho
PY - 2013
Y1 - 2013
N2 - 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 words, 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.
AB - 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 words, 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.
UR - https://www.scopus.com/pages/publications/84893289610
U2 - 10.1109/APSIPA.2013.6694236
DO - 10.1109/APSIPA.2013.6694236
M3 - Conference contribution
AN - SCOPUS:84893289610
SN - 9789869000604
T3 - 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013
BT - 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013
T2 - 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013
Y2 - 29 October 2013 through 1 November 2013
ER -