Intelligent Monitoring System for Online Listing and Auctioning

被引：0
作者：
Seifi, Farid [1 ]
Rastgoo, Mohammad [1 ]
机构：
[1] Univ Ottawa, Sch Informat Technol & Engn, Ottawa, ON K1N 6N5, Canada
来源：
E-TECHNOLOGIES: TRANSFORMATION IN A CONNECTED WORLD | 2011年 / 78卷
关键词：
online auctioning and listing; monitoring; Machine Learning; document classification; Naive Bayes classifier;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
As the online auctioning sites grew; it became necessary to restrict or forbid auctions for various items. For this purpose, online auctioning companies assign special personnel, a large team of monitoring experts, to monitor the items posted on the web to ensure a safe and healthy online trading atmosphere. This process costs a lot for such companies and also takes a lot of time. In this research we propose a solution to this problem as an automated intelligent monitoring system which uses machine learning and data mining algorithms; in particular document classification, to monitor new items. Our results show that this approach is reliable and it reduces the monitoring cost and time.
引用
收藏
页码：241 / 252
页数：12
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