Deal or No Deal: Catering to User Preferences

被引：0

作者：

Muralidharan, Kartik ^{[1
]}

Gottipati, Swapna ^{[1
]}

Balan, Rajesh Krishna ^{[1
]}

机构：

[1] Singapore Management Univ, Singapore 178902, Singapore

来源：

2014 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS WORKSHOPS (PERCOM WORKSHOPS) | 2014年

关键词：

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：199 / 202

页数：4