Title

myDeal: A Mobile Shopping Assistant Matching User Preferences to Promotions

Publication Type

Conference Proceeding Article

Publication Date

12-2014

Abstract

A common problem in large urban cities is the huge number of retail options available. In response, a number of shopping assistance applications have been created for mobile phones. However, these applications mostly allow users to know where stores are or find promotions on specific items. What is missing is a system that factors in a user's shopping preferences and automatically tells them which stores are of their interest. The key challenge in this system is twofold; 1) building a matching algorithm that can combine user preferences with fairly unstructured deals and store information to generate a final rank ordered list, and 2) designing a mobile application that can capture user preferences and display deal information to the user in an intuitive way. In this paper, we present myDeal, a system that automatically ranks deals according to user preferences and presents them to the user on their mobile device.

Discipline

Databases and Information Systems | Software Engineering

Research Areas

Data Management and Analytics; Software and Cyber-Physical Systems

Publication

MOBIQUITOUS '14: Proceedings of the 11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services: 2-5 December 2014, London

First Page

238

Last Page

247

ISBN

9781631900396

Identifier

10.4108/icst.mobiquitous.2014.257708

Publisher

ICST

City or Country

Brussels

Additional URL

http://dx.doi.org/10.4108/icst.mobiquitous.2014.257708