Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

11-2015

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.

Keywords

IntelligShop, Location-based augmented reality, Data mining, Location, Sales, Smartphones, Social networking (online)

Discipline

Asian Studies | Databases and Information Systems | E-Commerce | Sales and Merchandising

Research Areas

Data Science and Engineering

Publication

2015 IEEE International Conference on Data Mining Workshop: 14-17 November, Atlantic City: Proceedings

First Page

1604

Last Page

1607

ISBN

9781467384926

Identifier

10.1109/ICDMW.2015.103

Publisher

IEEE

City or Country

Piscataway, NJ

Additional URL

https://doi.ieeecomputersociety.org/10.1109/ICDMW.2015.103

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