IntelligShop: Enabling Intelligent Shopping in Malls through Location-Based Augmented Reality

IntelligShop: Enabling Intelligent Shopping in Malls through Location-Based Augmented Reality
Title:
IntelligShop: Enabling Intelligent Shopping in Malls through Location-Based Augmented Reality
Other Titles:
2015 IEEE International Conference on Data Mining Workshop (ICDMW)
DOI:
10.1109/ICDMW.2015.103
Publication Date:
14 November 2015
Citation:
A. Adhikari, V. W. Zheng, H. Cao, M. Lin, Y. Fang and K. C. C. Chang, "IntelligShop: Enabling Intelligent Shopping in Malls through Location-Based Augmented Reality," 2015 IEEE International Conference on Data Mining Workshop (ICDMW), Atlantic City, NJ, 2015, pp. 1604-1607. doi: 10.1109/ICDMW.2015.103
Abstract:
Shopping experience is important for both citizens and tourists. We present IntelligShop, a novel location-based augmented reality application that supports intelligent shopping experience in malls. As the key functionality, IntelligShop provides an augmented reality interface -- people can simply use ubiquitous smartphones to face mall retailers, then IntelligShop will automatically recognize the retailers and fetch their online reviews from various sources (including blogs, forums and publicly accessible social media) to display on the phones. Technically, IntelligShop addresses two challenging data mining problems, including robust feature learning to support heterogeneous smartphones in localization and learning to query for automatically gathering the retailer content from the Web for augmented reality. We demonstrate the system effectiveness via a test bed established in a real mall of Singapore.
License type:
PublisherCopyrights
Funding Info:
This study is supported by the research grant for the Human-centered Cyber-physical Systems Programme at the Advanced Digital Sciences Center from Singapore's Agency for Science, Technology and Research (A*STAR).
Description:
(c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
ISSN:
2375-9259
ISBN:
978-1-4673-8493-3
978-1-4673-8492-6
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