Intelligent-commerce research in China

Daniel Zeng, Fei Yue Wang, Xiaolong Zheng, Yong Yuan, Guoqing Chen, Jian Chen

Research output: Contribution to journalArticle

4 Scopus citations

Abstract

Chinese AI researchers have been pursuing intelligent-commerce research since the 1990s, often jointly with information systems, marketing, and operations management researchers. Y. Yuan and Y. Q. Liang investigated a co-evolutionary genetic algorithm for multiagent negotiation. This algorithm extracts each negotiating party's strategy space and encodes it as a strategy population. Keyword advertising or sponsored search has become the most successful and rapidly growing sector of the online-advertising industry. Much research in this area focuses on four issues, auction mechanism design, bidding-strategy optimization, game-theoretic equilibrium analysis, and keyword generation and recommendation. Online social-networking sites in China have been driving an increasing volume of traffic to e-tailers. Y. Zhao and colleagues studied actual social networks in the Maze peer-to-peer filesharing network, which includes a network of users' friends and a download network.

Original languageEnglish (US)
Pages (from-to)14-18
Number of pages5
JournalIEEE Intelligent Systems
Volume23
Issue number6
StatePublished - Nov 2008

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Artificial Intelligence

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    Zeng, D., Wang, F. Y., Zheng, X., Yuan, Y., Chen, G., & Chen, J. (2008). Intelligent-commerce research in China. IEEE Intelligent Systems, 23(6), 14-18.