Deal or No Deal: Catering to User Preferences

Publication Type

Conference Proceeding Article

Publication Date

3-2014

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. A key challenge in this system is building a matching algorithm that can combine user preferences with fairly unstructured deals and store information to generate a final rank ordered list. In this work, we present the first prototype of myDeal, a system that automatically ranks deals according to user preferences and presents them to the user on their mobile device.

Keywords

Matching algorithm, Rank-ordered Lists, Shopping assistance, Urban cities

Discipline

Advertising and Promotion Management | Computer Sciences | Software Engineering

Research Areas

Software and Cyber-Physical Systems

Publication

2014 IEEE International Conference on Pervasive Computing and Communication (PERCOM) Workshops: 24-28 March, Budapest, Hungary: Proceedings

First Page

199

Last Page

202

ISBN

9781479927364

Identifier

10.1109/PerComW.2014.6815200

Publisher

IEEE

City or Country

Piscataway, NJ

Additional URL

https://doi.org/10.1109/PerComW.2014.6815200

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