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

机译:基于模糊数据挖掘的Web用户偏好感知系统

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摘要

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,提供合适的信息和产品以满足客户需求并提高客户满意度是衡量公司竞争力的关键因素之一。在本文中,我们提出了一种将模糊集与数据挖掘技术相结合的偏好感知系统,以检测基于Web的环境中每个用户的信息偏好。进行了一项实验,以证明该系统在本研究中的可行性和有效性。这表明所提出的系统可以有效地感知Web环境中用户信息偏好的变化。

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