Improving Online Customer Shopping Experience with Computer Vision and Machine Learning Methods | SpringerLink
HCIBGO 2016: HCI in Business, Government, and Organizations: eCommerce and Innovation pp 427–436Cite as Slider with three content items shown per slide. Use the Previous and Next buttons to navigate the slides or the slide controller buttons at the end to navigate through each slide. Edward R. Sykes Saiyed Umer, Partha Pratim Mohanta, … Hari Mohan Pandey Nemer Odeh & Cem Direkoglu Aymen Ben Hassen, Sonia Ben Ticha & Anja Habacha Chaibi 5096 Accesses 2 Citations Part of the Lecture Notes in Computer Science book series (LNISA,volume 9751) Computer vision and pattern recognition has achieved great developments in last decade, especially the feature categorizing and detection. How to exploit the new techniques in this research area has rarely discussed in the information systems field. This paper aims at exploring the opportunities from the most recent development from computer vision area from the online shopping experience perspective. We discussed the possibility of extracting meaningf
Abstract Computer vision and pattern recognition has achieved great developments in last decade, especially the feature categorizing and detection. How to exploit the new techniques in this research area has rarely discussed in the information systems field. This paper aims at exploring the opportunities from the most recent development from computer vision area from the online shopping experience perspective. We discussed the possibility of extracting meaningful information from images and apply this to the online recommendation system to improve online customer shopping experience. Implicati
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