我国文献计量学论文的主题分布研究   总被引：1，自引：0，他引：1  

熊滨 《江西图书馆学刊》2003,33(4):64-66

从主题分析和关键词分析的角度对我国献计量学论的主题内容进行了归纳和分类，以期深入认识该领域献的现状及其发展水平，明确该学科今后的发展重点和方向。  相似文献   

我国高校体育科研论文选题存在的问题     

王秉彝  师灿斌 《体育学刊》2006,13(5):64-66

对我国1986~2005年20年间5 963篇普通高校体育老师的论文进行了分析。结果发现普通高校体育科研领域分布特点:一是覆盖17个体育研究领域;二是学校体育仍成为热点研究领域。但是,在论文选题、内容、观点存在重复现象,理论和实际难以统一,定量和定性难以结合,数学、计算机应用、运动生物力学三门基础课程理论单薄等,都是今后高校体育科研中要特别重视的问题。提出了学校体育研究要注意“三统一”,即改革内容和国家意志的统一;改革方案和办学体制的统一;成果推广和客观环境的统一等建议。  相似文献   

《西厢记》与《红楼梦》爱情主题的异同     

谭海英 《大同职业技术学院学报》2004,(1)

作为我国古代以爱情为主题的文学作品,《西厢记》与《红楼梦》都歌颂了男女间纯真专一的爱情,批判了门第观念。但由于作品产生的背景及时代不同,所表现的程度又不尽相同,《红楼梦》较之《西厢记》,其爱情主题更深刻,更有意义。  相似文献   

基于用户兴趣模型的智能信息检索系统技术与实现   总被引：11，自引：0，他引：11  

石晶  龚震宇  裘杭萍  张毓森 《情报学报》2003,22(3):282-286

PCSICE是一个面向Internet的智能信息检索系统。该系统采用分布式智能体技术、用户兴趣学习算法和基于使用的聚类算法 ,有效地解决了现有系统在交互方式、自适应用户兴趣等方面的不足 ,满足人们在信息浏览时的个性化要求。该系统普遍适用于Internet、远程教育等分布式系统中的信息检索  相似文献   

电视新闻专题节目特点及发展趋势探析   总被引：1，自引：0，他引：1  

周琼 《新闻界》2008,(4):147-148

本文分析电视新闻专题节目的特点、优势以及存在的不足,探求其发展趋势,并提出建设性意见。  相似文献   

NFCNNC:一种新的模糊竞争神经网络聚类模型及其在文本聚类中的应用     

耿新青  王正欧 《情报学报》2006,25(3):296-300

提出了一种新的模糊竞争神经网络聚类模型NFCNNC,并将其应用到文本聚类中。NFCNNC将模糊中心聚类(FCC)算法得到的模糊聚类中心向量作为神经网络的权值,通过比较隶属度值得到获胜神经元。网络中仅两个神经元同时调节权值。隶属度值最大的神经元以较大的学习率调整权值,隶属度次大的神经元以较小的学习率调整权值,其他神经元权值不变。按照FCC算法调整模糊聚类中心向量值(即权值)和神经元的隶属度,当网络稳定时,即可确定聚类数。与传统模糊神经网络模型相比,本文的模糊神经网络模型具有结构简单、运行效率高、聚类精度高的优点,同时克服了传统算法需预先指定聚类数的局限性。通过对文本聚类的实验验证,本算法取得了良好的效果。  相似文献   

Web日志中用户存取模式的聚类研究     

吴瑞  史文武 《情报学报》2006,25(5):629-633

基于用户访问网页的不同序列反映了用户特定的兴趣,提出了Web日志中用户存取模式的聚类算法。利用传统的Leader算法只扫描数据集一遍的优点,以及粗糙理论在处理含有不确定信息问题上的优势,给出了结合粗糙理论的改进Leader算法对用户存取模式进行聚类方法,使得同一类中的用户存取模式尽可能的相近或相似,不同类中的模式尽可能的相异。实验结果表明,该算法在可承受的计算时间内可对Web日志中的用户存取模式进行有效聚类。  相似文献   

Hierarchical clustering of a Finnish newspaper article collection with graded relevance assessments     

Tuomo Korenius  Jorma Laurikkala  Martti Juhola  Kalervo Järvelin 《Information Retrieval》2006,9(1):33-53

Search facilitated with agglomerative hierarchical clustering methods was studied in a collection of Finnish newspaper articles (N = 53,893). To allow quick experiments, clustering was applied to a sample (N = 5,000) that was reduced with principal components analysis. The dendrograms were heuristically cut to find an optimal partition, whose clusters were compared with each of the 30 queries to retrieve the best-matching cluster. The four-level relevance assessment was collapsed into a binary one by (A) considering all the relevant and (B) only the highly relevant documents relevant, respectively. Single linkage (SL) was the worst method. It created many tiny clusters, and, consequently, searches enabled with it had high precision and low recall. The complete linkage (CL), average linkage (AL), and Ward's methods (WM) returned reasonably-sized clusters typically of 18–32 documents. Their recall (A: 27–52%, B: 50–82%) and precision (A: 83–90%, B: 18–21%) was higher than and comparable to those of the SL clusters, respectively. The AL and WM clustering had 1–8% better effectiveness than nearest neighbor searching (NN), and SL and CL were 1–9% less efficient that NN. However, the differences were statistically insignificant. When evaluated with the liberal assessment A, the results suggest that the AL and WM clustering offer better retrieval ability than NN. Assessment B renders the AL and WM clustering better than NN, when recall is considered more important than precision. The results imply that collections in the highly inflectional and agglutinative languages, such as Finnish, may be clustered as the collections in English, provided that documents are appropriately preprocessed.  相似文献   

情报检索系统用户相关性判断的灰色聚类决策   总被引：2，自引：0，他引：2  

王筠 《中国图书馆学报》2004,30(1)

所谓灰色聚类决策,就是按多个不同的决策指标对决策对象进行综合评价,以确定决策对象是否满足给定的取舍原则。该方法可以用于对情报检索系统的检索结果进行相关性判断。参考文献4。  相似文献   

Analysis of single comments left for bioRxiv preprints till September 2019     

Mario Mali ki  Joseph Costello  Juan Pablo Alperin  Lauren A. Maggio 《Biochemia medica : ?asopis Hrvatskoga dru?tva medicinskih biokemi?ara / HDMB》2021,31(2)

IntroductionWhile early commenting on studies is seen as one of the advantages of preprints, the type of such comments, and the people who post them, have not been systematically explored.Materials and methodsWe analysed comments posted between 21 May 2015 and 9 September 2019 for 1983 bioRxiv preprints that received only one comment on the bioRxiv website. The comment types were classified by three coders independently, with all differences resolved by consensus.ResultsOur analysis showed that 69% of comments were posted by non-authors (N = 1366), and 31% by the preprints’ authors themselves (N = 617). Twelve percent of non-author comments (N = 168) were full review reports traditionally found during journal review, while the rest most commonly contained praises (N = 577, 42%), suggestions (N = 399, 29%), or criticisms (N = 226, 17%). Authors’ comments most commonly contained publication status updates (N = 354, 57%), additional study information (N = 158, 26%), or solicited feedback for the preprints (N = 65, 11%).ConclusionsOur results indicate that comments posted for bioRxiv preprints may have potential benefits for both the public and the scholarly community. Further research is needed to measure the direct impact of these comments on comments made by journal peer reviewers, subsequent preprint versions or journal publications.  相似文献