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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jehan Jung Matsuba, Y. Mallipeddi, R. Funaya, H. Ikeda, K. Minho Lee |
| Copyright Year | 2013 |
| Description | Author affiliation: Dept. of Sensor Eng., Kyungpook Nat. Univ., Taegu, South Korea (Jehan Jung; Mallipeddi, R.; Minho Lee) || Grad. Sch. of Inf. Sci., Nara Inst. of Sci. & Technol., Nara, Japan (Matsuba, Y.; Funaya, H.; Ikeda, K.) |
| Abstract | 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. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 460645 |
| Page Count | 4 |
| File Format | |
| ISBN | 9789869000604 |
| DOI | 10.1109/APSIPA.2013.6694236 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-10-29 |
| Publisher Place | Taiwan |
| Access Restriction | Subscribed |
| Rights Holder | APSIPA |
| Subject Keyword | Visualization Sociology Evolutionary computation Programming Length measurement Statistics Genetic algorithms |
| Content Type | Text |
| Resource Type | Article |
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