An Intelligent Trade Matching System For Virtual Community Based On Google Earth
The trade in the virtual community based on Google Earth (GE) could not be accomplished well because the products of the sellers and the products of the buyers can not match quite well as a result of the massive amount of demand information. In this study, a system for trading between the buyers and sellers more easily and quickly is proposed, which is called Intelligent Trade Matching System (ITMS) in our paper. ITMS can provide good means to resolve the problem of product matching between the seller and the buyer in virtual community. The ITMS can collect, index, search and match products, and then rearrange the sort of products according to the relevance and seller’s geographic information and then submit useful information automatically to the user. It is proved that the products provided by the system are updating constantly with the continuously changing positions of the users while they are walking in the virtual community. Also the relative degree is fairly high between the returned projects and the newest demand information published by the users.
Intelligent Trade Matching System Virtual Community Google Earth
Huaiyu Xu Wei Duan Xiaoyu Hou Yilai Xu Mo Chen
Integrated Circuit Applied Software Lab Software College, Northeastern University Shenyang, China 110004
国际会议
北京
英文
2038-2041
2009-08-08（万方平台首次上网日期，不代表论文的发表时间）