Publication Type

Conference Poster

Version

submittedVersion

Publication Date

7-2012

Abstract

A common problem in large Urban cities, of the sort seen in Asia, is the huge number of retail options available in the city. In particular, it is not uncommon to find multiple malls, each with hundreds of stores inside, just a short distance from each other in almost every part of these cities. These factors make it incredibly hard for consumers to identify stores of interest to them in any particular mall.In response, a number of shopping assistance applications have been created for mobile phones.However, these applications mostly just allow users to know which stores are where or to 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 most likely to capture 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 user interface that can display a large amount of deal and shopping information to the user in an easy intuitive way.

Discipline

Databases and Information Systems | Sales and Merchandising | Software Engineering

Research Areas

Software and Cyber-Physical Systems

Publication

Asia-Pacific Workshop on Systems APSYS 2012, July 23-24, Seoul

First Page

1

Last Page

1

Publisher

ACM

City or Country

New York

Copyright Owner and License

Author

Comments

Asking for full text - PP

Additional URL

https://apsys2012.kaist.ac.kr/posters-and-demos/

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