排序方式： 共有87条查询结果，搜索用时 15 毫秒
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Hei-Chia Wang 《Interactive Learning Environments》2013,21(1):18-38
In recent years, the pervasive use of computers and the Internet has created an unprecedented environment for e-learning. However, the rapid expansion in the number of disparate information sources and variety of data available affects e-learning significantly. Nonetheless, there has been a growing awareness that courseware should automatically adjust to the profiles of individual learners. Over the past few years, much effort has been expended to enable personalization for e-learning by semantic web techniques. Although the semantic web offers a theoretical framework for flexibility and interoperability in e-learning resources, there is no consensus ontology that can be used to describe learning profiles directly for personal e-learning environments. This means that their actual applications are as yet unknown. Positing that ontologies actually provide viable solutions for knowledge management, in this article, we present a three-module architecture for a personalized e-learning environment for bioinformatics. The architecture facilitates a personalized e-material recommender that does item-based collaborative filtering (CF) + adapted vector space model (VSM), explicit and implicit scoring, and a concept of tasks focused on rating literature for the e-learner. Meanwhile, the knowledge discovery process can be tailored to acquiring knowledge for professional requirements. Validation for our architecture is provided by a case study for biological institutions. The experimental results show that our architecture is helpful for professional requirements, improving recommendation quality, and satisfying users. 相似文献
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In citation network analysis, complex behavior is reduced to a simple edge, namely, node A cites node B. The implicit assumption is that A is giving credit to, or acknowledging, B. It is also the case that the contributions of all citations are treated equally, even though some citations appear multiply in a text and others appear only once. In this study, we apply text-mining algorithms to a relatively large dataset (866 information science articles containing 32,496 bibliographic references) to demonstrate the differential contributions made by references. We (1) look at the placement of citations across the different sections of a journal article, and (2) identify highly cited works using two different counting methods (CountOne and CountX). We find that (1) the most highly cited works appear in the Introduction and Literature Review sections of citing papers, and (2) the citation rankings produced by CountOne and CountX differ. That is to say, counting the number of times a bibliographic reference is cited in a paper rather than treating all references the same no matter how many times they are invoked in the citing article reveals the differential contributions made by the cited works to the citing paper. 相似文献
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数据稀疏是协同过滤预测精度的一个重要影响因素。Slope One算法使用简单的线性回归模型解决该问题,但它只使用评分数据做计算,未考虑相似性。提出一种基于用户习惯偏好相似度的Slope One算法（UPS Slope One）。UPS Slope One首先基于用户习惯偏好聚类,得到三组不同偏好的用户,然后分别计算各组评分偏差,计算时将用户习惯偏好相似度融入其中,最后使用线性回归模型预测评分。在MovieLens数据集上的实验表明,该算法可得到更高的推荐质量、预测准确性和稳定性。 相似文献
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写作成果教学法是长期垄断英语写作教学的一种传统方法，在我国写作教学中影响颇具。然而，随着对英语学习者写作能力要求的提高，不足之处已日渐暴露。为此，本文借鉴国外写作过程教学法，通过对本校英语专业40名学生所做的研究统计结果验证，提出以内容为中心的写作教学思路，强调阅读输入，提高学生英语写作水平。 相似文献
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信息过滤技术在数字图书馆的应用 总被引：10，自引：1，他引：10
信息过滤技术将在数字图书馆个性化服务中起重要作用。可以构建一个基于信息过滤技术的数字图书馆模型。它主要包括信息检索模块和信息过滤模块。图1。参考文献4。 相似文献
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大量图像信息的产生使得基于内容的图像检索技术成为研究热点.由于颜色特征具有稳定性和计算简单的特点,本文首先介绍了利用全局颜色直方图进行图像检索的基本思想,然后分析了它的局限性,并给出了改进的方法:特征提取采用结合空间信息的颜色一致向量方法.在特征度量时,依据所设计的评价实验,对这两种方法进行了比较,并给出了实验结果和图像检索性能的评价.实验表明,所述的图像检索方法具有较好的查全率和查准率. 相似文献
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数字图书馆个性化服务的实施与策略 总被引：1，自引：0，他引：1
调查分析个性化服务和社会计算工具在数字图书馆的现状,探讨该种服务对数字图书馆发展的影响。选择29个具有代表性的数字图书馆的网站进行调查,结果发现约31％的抽样对象提供某种类型的个性化服务,包括个性化电子邮件通知,个性化界面,检索行为保存,个性化动态链接和同行推荐。通过对5种社会计算工具在抽样对象网站上的实施情况进行调查后认为,个性化服务和社会计算具有提高数字图书馆功能和使用的潜力,未来应加强最优化实施策略和应用效果方面的研究。 相似文献
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