B2B E Commerce is one of the most potential electronic commerce forms at present. But since traditional B2 B E Commerce system lacks an unified standard and solution of basic architectur e a nd interface, it has m...B2B E Commerce is one of the most potential electronic commerce forms at present. But since traditional B2 B E Commerce system lacks an unified standard and solution of basic architectur e a nd interface, it has many shortcomings such as poor reusability and poor extensi bility. In order to solve the problem, combined with Web Service technology, a B 2B E Commerce system model based on Web Service is proposed and analyzed. The m odel can combine relatively independent Web Service on Intranet and Internet by constructing core application program. As a part of supply chain, it can also pr ovide a standard interface for other applications such as ERP/CRM/SCM, etc. Th er efore, B2B E Commerce system with this form is easy for development, integratio n and maintenance. Finally, a solution of B2B E Commerce system based on Web Se rvice is propounded by introducing an instance.展开更多
This paper presents an architecture of a hybrid recommender system in E-commerce environment. The goal of the system is to make special improvements in giving precisely personalized recommendation through some effecti...This paper presents an architecture of a hybrid recommender system in E-commerce environment. The goal of the system is to make special improvements in giving precisely personalized recommendation through some effective measures. Based on the study on the existing recommendation methods of both the conventional similarity function and the conventional feedback function, several improvement algorithms are developed to enhance the precision of recommendation, which include three improved similarity functions, four improved feedback functions, and adoption of both explicit and implicit preferences in individual user profile. Among them, issues and countermeasures of a new user, prominent preferences and long-term preferences are nicely addressed to gain better recommendation. The users preferences is so designed to be precisely captured by a user-side agent, and can make self-adjustment with explicit or implicit feedback.展开更多
Fuzzy cognitive maps （FCM） is a well-established artificial intelligence technique, which can be effectively applied in the domains of performance measurement, decision making and other management science. FCM can b...Fuzzy cognitive maps （FCM） is a well-established artificial intelligence technique, which can be effectively applied in the domains of performance measurement, decision making and other management science. FCM can be a useful tool in a group decision-making environment by using scientifically integrated expert knowledge. The theories of FCM and balance scorecard （BSC） both emphasize cause-and-effect relationships among indicators in a complex system, but few reports have been published addressing the combined application of these two techniques. In this paper we propose a FCM simulation model for the sample performance measurement system of Intemet-based supply chain, which is constructed by BSC theory. We gave examples to explain how FCM can be adapted to execute the causal mechanism of BSC, and also how FCM can support group decision-making and forecasting in performance measurement.展开更多
文摘B2B E Commerce is one of the most potential electronic commerce forms at present. But since traditional B2 B E Commerce system lacks an unified standard and solution of basic architectur e a nd interface, it has many shortcomings such as poor reusability and poor extensi bility. In order to solve the problem, combined with Web Service technology, a B 2B E Commerce system model based on Web Service is proposed and analyzed. The m odel can combine relatively independent Web Service on Intranet and Internet by constructing core application program. As a part of supply chain, it can also pr ovide a standard interface for other applications such as ERP/CRM/SCM, etc. Th er efore, B2B E Commerce system with this form is easy for development, integratio n and maintenance. Finally, a solution of B2B E Commerce system based on Web Se rvice is propounded by introducing an instance.
文摘This paper presents an architecture of a hybrid recommender system in E-commerce environment. The goal of the system is to make special improvements in giving precisely personalized recommendation through some effective measures. Based on the study on the existing recommendation methods of both the conventional similarity function and the conventional feedback function, several improvement algorithms are developed to enhance the precision of recommendation, which include three improved similarity functions, four improved feedback functions, and adoption of both explicit and implicit preferences in individual user profile. Among them, issues and countermeasures of a new user, prominent preferences and long-term preferences are nicely addressed to gain better recommendation. The users preferences is so designed to be precisely captured by a user-side agent, and can make self-adjustment with explicit or implicit feedback.
基金Funded by Chongqing Natural Science Foundation (No. CSTC2005BB2189) and Chongqing High Tech Projects Foundation (No. 8277)
文摘Fuzzy cognitive maps （FCM） is a well-established artificial intelligence technique, which can be effectively applied in the domains of performance measurement, decision making and other management science. FCM can be a useful tool in a group decision-making environment by using scientifically integrated expert knowledge. The theories of FCM and balance scorecard （BSC） both emphasize cause-and-effect relationships among indicators in a complex system, but few reports have been published addressing the combined application of these two techniques. In this paper we propose a FCM simulation model for the sample performance measurement system of Intemet-based supply chain, which is constructed by BSC theory. We gave examples to explain how FCM can be adapted to execute the causal mechanism of BSC, and also how FCM can support group decision-making and forecasting in performance measurement.
