Rank algorithm of web English educational resources based on fuzzy sets and RSS

IF 1.5 Q2 COMPUTER SCIENCE, THEORY & METHODS

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2021-06-12 DOI:10.3233/JIFS-219148

Haijun Chen, Wei-Chang Yang

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引用次数: 0

Abstract

In order to improve the acquisition and recommendation effect of English education resources, this paper proposes a Rank algorithm of web English educational resources based on fuzzy sets and RSS, and deeply studies the basic principles of the algorithm and introduces several keyword extraction techniques. The user’s browsing behavior and user interest acquisition methods are classified. Researchers can plan to further explore the page ranking algorithm to improve the performance of the scheme based on the damping factor. In addition, this paper uses Web technology to acquire English education resources and build a recommendation model, and uses crawler technology to build an overall system model. Finally, this paper designs experiments to verify the performance of the algorithm model constructed in this paper, and analyses the experimental results by mathematical statistics. The research results show that the algorithm model proposed in this paper has significant effects and is of great significance to the acquisition and recommendation of English education resources.

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基于模糊集和RSS的网络英语教育资源排序算法

为了提高英语教育资源的获取和推荐效果，本文提出了一种基于模糊集和RSS的网络英语教育资源排序算法，并深入研究了算法的基本原理，介绍了几种关键词提取技术。对用户的浏览行为和用户兴趣获取方法进行了分类。研究人员可以计划进一步探索基于阻尼因子的页面排序算法，以提高方案的性能。此外，本文利用Web技术获取英语教育资源，构建推荐模型，并利用爬虫技术构建整体系统模型。最后，设计实验验证本文构建的算法模型的性能，并对实验结果进行数理统计分析。研究结果表明，本文提出的算法模型效果显著，对英语教育资源的获取和推荐具有重要意义。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Fuzzy Logic and Intelligent Systems COMPUTER SCIENCE, THEORY & METHODS-

CiteScore

2.80

自引率

23.10%

发文量

期刊介绍： The International Journal of Fuzzy Logic and Intelligent Systems (pISSN 1598-2645, eISSN 2093-744X) is published quarterly by the Korean Institute of Intelligent Systems. The official title of the journal is International Journal of Fuzzy Logic and Intelligent Systems and the abbreviated title is Int. J. Fuzzy Log. Intell. Syst. Some, or all, of the articles in the journal are indexed in SCOPUS, Korea Citation Index (KCI), DOI/CrossrRef, DBLP, and Google Scholar. The journal was launched in 2001 and dedicated to the dissemination of well-defined theoretical and empirical studies results that have a potential impact on the realization of intelligent systems based on fuzzy logic and intelligent systems theory. Specific topics include, but are not limited to: a) computational intelligence techniques including fuzzy logic systems, neural networks and evolutionary computation; b) intelligent control, instrumentation and robotics; c) adaptive signal and multimedia processing; d) intelligent information processing including pattern recognition and information processing; e) machine learning and smart systems including data mining and intelligent service practices; f) fuzzy theory and its applications.