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排序方式: 共有989条查询结果,搜索用时 218 毫秒
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A transaction log analysis of the Nanyang Technological University (NTU) OPAC was conducted to identify query and search failure patterns with the goal of identifying areas of improvement for the system. One semester’s worth of OPAC transaction logs were obtained and from these, 641,991 queries were extracted and used for this work. Issues investigated included query length, frequency and type of search options and Boolean operators used as well as their relationships with search failure. Among other findings, results indicate that a majority of the queries were simple, with short query lengths and a low usage of Boolean operators. Failure analysis revealed that on average, users had an almost equal chance of obtaining no records or at least one record to a submitted query. We propose enhancements and suggest future areas of work to improve the users’ search experience with the NTU OPAC. 相似文献
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Current citation-based document retrieval systems generally offer only limited search facilities, such as author search. In order to facilitate more advanced search functions, we have developed a significantly improved system that employs two novel techniques: Context-based Cluster Analysis (CCA) and Context-based Ontology Generation frAmework (COGA). CCA aims to extract relevant information from clusters originally obtained from disparate clustering methods by building relationships between them. The built relationships are then represented as formal context using the Formal Concept Analysis (FCA) technique. COGA aims to generate ontology from clusters relationship built by CCA. By combining these two techniques, we are able to perform ontology learning from a citation database using clustering results. We have implemented the improved system and have demonstrated its use for finding research domain expertise. We have also conducted performance evaluation on the system and the results are encouraging. 相似文献
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Grisham W Schottler NA McCauley LM Pham AP Ruiz ML Fong MC Cui X 《CBE life sciences education》2011,10(2):222-230
Zebra finch song behavior is sexually dimorphic: males sing and females do not. The neural system underlying this behavior is sexually dimorphic, and this sex difference is easy to quantify. During development, the zebra finch song system can be altered by steroid hormones, specifically estradiol, which actually masculinizes it. Because of the ease of quantification and experimental manipulation, the zebra finch song system has great potential for use in undergraduate labs. Unfortunately, the underlying costs prohibit use of this system in undergraduate labs. Further, the time required to perform a developmental study renders such undertakings unrealistic within a single academic term. We have overcome these barriers by creating digital tools, including an image library of song nuclei from zebra finch brains. Students using this library replicate and extend a published experiment examining the dose of estradiol required to masculinize the female zebra finch brain. We have used this library for several terms, and students not only obtain significant experimental results but also make gains in understanding content, experimental controls, and inferential statistics (analysis of variance and post hoc tests). We have provided free access to these digital tools at the following website: http://mdcune.psych.ucla.edu/modules/birdsong. 相似文献
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适应体育是促进全面发展,帮助残疾人更好地融入社会的基本途径。采用文献资料、访谈调查、比较研究及归纳演绎等方法,通过梳理适应体育实践与理论的历史脉络,从不同历史时期适应体育存在的形态、特征以及社会价值来把握适应体育的演变过程,认为适应体育完成了两个重要转向:由早期疾患治疗的康复手段转向个体的自由发展与教育需要,由满足社会施以人道的文明需求转向社会公平公正需要。并就适应体育的历史演进把握其发展方向,认为未来适应体育发展将是在哲学迷茫中回归以人为本,在道德约束下强调公平,在理念感召下走向融合,在价值发现中迈向统一。 相似文献
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文章主要就山西省参加十一运会柔道队的重点运动员预赛前两次高原训练,以生理机能测试,身体本体感觉的问卷及运动能力的变化为依据,进行探讨柔道运动员高原训练机能变化的规律。 相似文献
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庞正刚 《重庆工贸职业技术学院学报》2011,(1)
高等职业教育的目标是培养高素质的技能型专门人才。在当前到处紧缺劳动力的背景下,高职生已不再为就业犯愁,甚至出现了不少企业主动到学校提前预订员工,似乎感觉高职在转运了,但深层次的分析发现企业主要紧缺的是普通员工,那些岗位是一般人都能干的,并非高职生才能做,进入到这样的岗位只是填补了农民工与中职生数量不足的空缺,造成了高职人才的浪费,为此高职生就业应进行合理定位,体现高职生的价值与尊严。 相似文献
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个性化跨语言学术搜索技术研究 总被引:1,自引:0,他引:1
学术搜索引擎是一种行业化的搜索引擎,但因其缺乏个性化的服务,使得用户的学术文献检索效率低下,海量的数字学术资源得不到充分利用.本文使用Google翻译,研究基于机器翻译的中、英、俄、法和西班牙等五个语种跨语言学术检索.在跨语言学术搜索的基础上研究个性化检索技术,提出一种基于聚类的个性化信息检索方法:通过观察用户对搜索结果聚类的点击行为,生成并更新用户实时兴趣模型,采用余弦夹角公式计算用户实时兴趣模型与搜索返回结果的相似度,根据相似度大小,为用户提供个性化重排序的搜索返回结果.实验结果证明了提出方法的有效性. 相似文献