Electronic commerce: a managerial perspective
Electronic commerce: a managerial perspective
Building Data Mining Applications for CRM
Building Data Mining Applications for CRM
A simplified neuro-fuzzy inference system (S-NFIS) tool for criteria matching
Design and application of hybrid intelligent systems
Technology supporting business solutions
Developing Mining-Grid Centric e-Finance Portal
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Developing mining-grid centric e-finance portals for risk management
JSAI'06 Proceedings of the 20th annual conference on New frontiers in artificial intelligence
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Although the Internet has made it easier for companies to transact business and transfer information, finding appropriate trading partners to do business with is still major stumbling block in business-to-business electronic commerce. To make this easier, the authors propose Matchmaker. Matchmaker features four main facilities. First, it embodies both supplier relationship management and customer relationship management. Second, when brokering merchants, it considers multiple attributes simultaneously and uses degree of fitness as an evaluation criterion. Third, it executes two-tiered qualifications, at the enterprise level (quotations) and the detail level (purchase orders). Finally, it can handle such processes as supply aggregation, supply segregation, demand aggregation, and demand segregation.