E-Learning个性化系统的推荐策略研究——来自电子商务推荐系统的启示
发布时间：2018-08-16 17:06
【摘要】： 在建设数字化终身学习体系的大背景下,E-Learning个性化推荐系统作为终身学习体系中最重要的学习方式,受到广泛的关注。个性化推荐系统(简称PRS)最早应用于电子商务和信息服务领域,现已相对成熟。而PRS在E-Learning中的应用尚处于摸索阶段。鉴于此,笔者以电子商务领域的个性化推荐系统为切入点,选取其中成功的推荐系统案例做研究,获取个性化推荐系统应用的成功经验,并从中提取出对E-Learning系统个性化建设的启示,最终探讨出E-Learning个性化系统的推荐策略。 本研究以个性化推荐理论作为基本的理论基础。首先采用文献研究法,探讨出个性化推荐理论的内涵,并对当前个性化推荐的关键技术进行简单的介绍,针对这些关键技术的优缺点和适用场合比较分析,提出常用的个性化推荐策略。 然后采用个案调查法,以Amazon.com、豆瓣网、MovieLens.org三个成功的电子商务个性化推荐系统为研究案例,分析他们典型的推荐功能和采用的推荐策略以及优势特点,从中获取个性化推荐理论应用的成功经验。 最后分析E-Learning个性化系统中的推荐服务形式,通过比较与电子商务推荐系统的相似之处找到可借鉴到E-Learning中的几个方面:1.建立虚拟学习社区;2.引入社会化标签,并做标签修正;3.充分发掘用户之间的推荐;4.优化推荐;5.创建个性化的学习环境。 最终提出E-Learning个性化系统的推荐策略:采用协同过滤技术与基于关联规则的推荐相组合的推荐策略,建立一个虚拟学习社区。利用系统算法推荐与用户之间推荐相结合的方式,将学习资源、学习活动、学习策略三者整合起来,向学习者推荐完整的E-Learning学习方案。
[Abstract]:E-Learning personalized recommendation system, as the most important learning method in the lifelong learning system, has received extensive attention under the background of the construction of digital lifelong learning system. Personalized recommendation system (PRS) was first applied in the field of electronic commerce and information service, and has been relatively mature. The application of PRS in E-Learning is still in the exploratory stage. In view of this, the author takes the personalized recommendation system in the field of electronic commerce as the breakthrough point, selects the successful recommendation system case to do the research, obtains the successful experience of the personalized recommendation system application. The enlightenment to the individuation construction of E-Learning system is extracted, and the recommendation strategy of E-Learning personalization system is discussed finally. This research takes the individualized recommendation theory as the basic theoretical basis. Firstly, the connotation of personalized recommendation theory is discussed by using literature research method, and the key technologies of individualized recommendation are briefly introduced, and the advantages and disadvantages of these key technologies and their applicable situations are compared and analyzed. Put forward the commonly used personalized recommendation strategy. Then using the case study method, taking Amazon.com, MovieLens.org as the research case, the typical recommendation function, the recommendation strategy and the advantages are analyzed. The successful experience of the application of personalized recommendation theory is obtained. Finally, this paper analyzes the form of recommendation service in E-Learning personalization system, and finds out several aspects of E-Learning that can be used for reference by comparing with E-commerce recommendation system. Establish a virtual learning community. Introduction of social labels, and do label correction. Fully explore the recommendation between users. Optimization recommendation 5. Create a personalized learning environment. Finally, the recommendation strategy of E-Learning personalization system is put forward: a virtual learning community is established by using collaborative filtering technology and association rule-based recommendation strategy. By using the combination of system algorithm recommendation and user recommendation, learning resources, learning activities and learning strategies are integrated to recommend a complete E-Learning learning scheme to learners.
【学位授予单位】：东北师范大学
【学位级别】：硕士
【学位授予年份】：2010
【分类号】：TP391.6
本文编号：2186628
[Abstract]:E-Learning personalized recommendation system, as the most important learning method in the lifelong learning system, has received extensive attention under the background of the construction of digital lifelong learning system. Personalized recommendation system (PRS) was first applied in the field of electronic commerce and information service, and has been relatively mature. The application of PRS in E-Learning is still in the exploratory stage. In view of this, the author takes the personalized recommendation system in the field of electronic commerce as the breakthrough point, selects the successful recommendation system case to do the research, obtains the successful experience of the personalized recommendation system application. The enlightenment to the individuation construction of E-Learning system is extracted, and the recommendation strategy of E-Learning personalization system is discussed finally. This research takes the individualized recommendation theory as the basic theoretical basis. Firstly, the connotation of personalized recommendation theory is discussed by using literature research method, and the key technologies of individualized recommendation are briefly introduced, and the advantages and disadvantages of these key technologies and their applicable situations are compared and analyzed. Put forward the commonly used personalized recommendation strategy. Then using the case study method, taking Amazon.com, MovieLens.org as the research case, the typical recommendation function, the recommendation strategy and the advantages are analyzed. The successful experience of the application of personalized recommendation theory is obtained. Finally, this paper analyzes the form of recommendation service in E-Learning personalization system, and finds out several aspects of E-Learning that can be used for reference by comparing with E-commerce recommendation system. Establish a virtual learning community. Introduction of social labels, and do label correction. Fully explore the recommendation between users. Optimization recommendation 5. Create a personalized learning environment. Finally, the recommendation strategy of E-Learning personalization system is put forward: a virtual learning community is established by using collaborative filtering technology and association rule-based recommendation strategy. By using the combination of system algorithm recommendation and user recommendation, learning resources, learning activities and learning strategies are integrated to recommend a complete E-Learning learning scheme to learners.
【学位授予单位】：东北师范大学
【学位级别】：硕士
【学位授予年份】：2010
【分类号】：TP391.6
【引证文献】
相关博士学位论文 前1条
1 姜强;自适应学习系统支持模型与实现机制研究[D];东北师范大学;2012年
相关硕士学位论文 前1条
1 白立广;现代远程教育中学习者关系管理体系研究[D];东北师范大学;2012年
，本文编号：2186628
本文链接：https://www.wllwen.com/jingjilunwen/dianzishangwulunwen/2186628.html
