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- Publisher Website: 10.1109/ICOIN.2015.7057888
- Scopus: eid_2-s2.0-84940518392
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Conference Paper: Design intelligence of web application for internet direct consumer-to-consumer trading
Title | Design intelligence of web application for internet direct consumer-to-consumer trading |
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Authors | |
Keywords | Artificial neural network Data mining Decision making Online trading Recommender systems Used goods |
Issue Date | 2015 |
Publisher | IEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000363 |
Citation | The 2015 International Conference on Information Networking (ICOIN 2015), Siem Reap, Cambodia, 12-14 January 2015. In Conference Proceedings, 2015, p. 233-237 How to Cite? |
Abstract | An online web application called Student-Trade has been developed. It is a state-of-the-art platform for direct consumer-to-consumer trading in the Internet. The platform is targeted for direct consumer-to-consumer trading among university students. The items for trading include books, household items, electronics, housing rental, sports equipment and tutoring services. This paper is on the design intelligence of the Student-Trade web application. One objective is to help the user to decide on the selling price of his item when the item is being posted in the web application. The system integrates a hybrid neighborhood search algorithm for determining the price of sale item when it is placed for trading in the Internet. Data mining techniques are explored for efficient processing of a vast amount of information in the database tables. In addition, the trading system would also have the intelligence of recommending items or products to a potential buyer given the previous purchase patterns. The aim is to provide a pleasant trading experience for the user. © 2015 IEEE. |
Persistent Identifier | http://hdl.handle.net/10722/214834 |
ISBN |
DC Field | Value | Language |
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dc.contributor.author | Chan, V | - |
dc.contributor.author | Wu, TH | - |
dc.contributor.author | Pang, G | - |
dc.date.accessioned | 2015-08-21T11:58:02Z | - |
dc.date.available | 2015-08-21T11:58:02Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | The 2015 International Conference on Information Networking (ICOIN 2015), Siem Reap, Cambodia, 12-14 January 2015. In Conference Proceedings, 2015, p. 233-237 | - |
dc.identifier.isbn | 978-1-4799-8342-1 | - |
dc.identifier.uri | http://hdl.handle.net/10722/214834 | - |
dc.description.abstract | An online web application called Student-Trade has been developed. It is a state-of-the-art platform for direct consumer-to-consumer trading in the Internet. The platform is targeted for direct consumer-to-consumer trading among university students. The items for trading include books, household items, electronics, housing rental, sports equipment and tutoring services. This paper is on the design intelligence of the Student-Trade web application. One objective is to help the user to decide on the selling price of his item when the item is being posted in the web application. The system integrates a hybrid neighborhood search algorithm for determining the price of sale item when it is placed for trading in the Internet. Data mining techniques are explored for efficient processing of a vast amount of information in the database tables. In addition, the trading system would also have the intelligence of recommending items or products to a potential buyer given the previous purchase patterns. The aim is to provide a pleasant trading experience for the user. © 2015 IEEE. | - |
dc.language | eng | - |
dc.publisher | IEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000363 | - |
dc.relation.ispartof | International Conference on Information Networking | - |
dc.subject | Artificial neural network | - |
dc.subject | Data mining | - |
dc.subject | Decision making | - |
dc.subject | Online trading | - |
dc.subject | Recommender systems | - |
dc.subject | Used goods | - |
dc.title | Design intelligence of web application for internet direct consumer-to-consumer trading | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Pang, G: gpang@eee.hku.hk | - |
dc.identifier.authority | Pang, G=rp00162 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/ICOIN.2015.7057888 | - |
dc.identifier.scopus | eid_2-s2.0-84940518392 | - |
dc.identifier.hkuros | 250196 | - |
dc.identifier.spage | 233 | - |
dc.identifier.epage | 237 | - |
dc.publisher.place | United States | - |
dc.customcontrol.immutable | sml 151008 | - |