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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Peiguang Lin Ku Jin |
| Copyright Year | 2009 |
| Abstract | As the brisk development of Internet, shopping online becomes the mainstream. This new shopping makes the customers convenient, but it also makes new trouble that it costs customers much time to browse lots of website to choose the right commodities. This paper analyzed Deep Web technology, proposed the “Easy-shopping” system based on this technology, and introduced each part of this system. This system resolved the problem of inefficiency and complexity in shopping online. |
| Starting Page | 304 |
| Ending Page | 307 |
| File Size | 261020 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424467549 |
| e-ISBN | 9781424467556 |
| DOI | 10.1109/ICICSE.2009.44 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-12-21 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Costs Humans Finance Financial management Physics b2c Databases Search engines Internet Acceleration deep web Merchandise shopping |
| Content Type | Text |
| Resource Type | Article |
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