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A Web User Preference Perception System Based on Fuzzy Data Mining Method

机译:基于模糊数据挖掘方法的Web用户偏好感知系统

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In a competitive environment, providing suitable information and products to meet customer requirements and improve customer satisfaction is one key factor to measure a company's competitiveness. In this paper, we propose a preference perception system by combining fuzzy set with data mining technology to detect the information preference of each user on a web based environment. An experiment was implemented to demonstrate the feasibility and effectiveness of the proposed system in this study. It indicates that the proposed system can effectively perceive the change of information preference for users in a Web environment.
机译:在竞争激烈的环境中,提供适当的信息和产品,以满足客户要求,提高客户满意度是衡量公司竞争力的关键因素。在本文中,我们通过将模糊集合与数据挖掘技术组合来检测每个用户的信息偏好在基于Web的环境中的信息偏好,提出优先感知系统。实施了实验以证明该研究中提出的系统的可行性和有效性。它表明,所提出的系统可以有效地了解网络环境中用户信息偏好的变化。

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