排序方式： 共有78条查询结果，搜索用时 640 毫秒
21.
利用三角模糊数的特点及两个三角模糊数的位置关系,提出了一种计算简便的比较两个三角模糊数大小的满意度公式,实现了两个三角模糊数大小的比较.特别地,对于正规三角模糊数,该满意度公式有更简单的形式.最后,通过几个数值例子,说明了该比较方法的简捷性和有效性. 相似文献
22.
Fermín L. Cruz Carlos G. VallejoFernando Enrı´quez José A. Troyano 《Information processing & management》2012
In this paper we present the relevance ranking algorithm named PolarityRank. This algorithm is inspired in PageRank, the webpage relevance calculus method used by Google, and generalizes it to deal with graphs having not only positive but also negative weighted arcs. Besides the definition of our algorithm, this paper includes the algebraic justification, the convergence demonstration and an empirical study in which PolarityRank is applied to two unrelated tasks where a graph with positive and negative weights can be built: the calculation of word semantic orientation and instance selection from a learning dataset. 相似文献
23.
以新颁布的《地图书馆评估标准》为例，通过对公共图书馆评估标准的研究，阐述新标准的特色，并分析其中的不足之处。 相似文献
24.
搜索引擎的排序技术研究 总被引：9，自引：1，他引：9
杨思洛 《现代图书情报技术》2005,21(1):43-47
提出按搜索引擎的排序技术把搜索引擎分为三代，介绍了主要的几种搜索引擎排序技术，并对第三代搜索引擎的发展进行了分析。 相似文献
25.
Ranking aggregation is a task of combining multiple ranking lists given by several experts or simple rankers to get a hopefully better ranking. It is applicable in several fields such as meta search and collaborative filtering. Most of the existing work is under an unsupervised framework. In these methods, the performances are usually limited especially in unreliable case since labeled information is not involved in. In this paper, we propose a semi-supervised ranking aggregation method, in which preference constraints of several item pairs are given. In our method, the aggregation function is learned based on the ordering agreement of different rankers. The ranking scores assigned by this ranking function on the labeled data should be consistent with the given pairwise order constraints while the ranking scores on the unlabeled data obey the intrinsic manifold structure of the rank items. The experimental results on toy data and the OHSUMED data are presented to illustrate the validity of our method. 相似文献
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28.
On rank-based effectiveness measures and optimization 总被引：1，自引：0，他引：1
Many current retrieval models and scoring functions contain free parameters which need to be set—ideally, optimized. The process
of optimization normally involves some training corpus of the usual document-query-relevance judgement type, and some choice
of measure that is to be optimized. The paper proposes a way to think about the process of exploring the space of parameter
values, and how moving around in this space might be expected to affect different measures. One result, concerning local optima,
is demonstrated for a range of rank-based evaluation measures.
相似文献
| Hugo ZaragozaEmail: |
29.
刘尧 《上海教育评估研究》2014,3(2):32-36
随着高等教育大众化的到来,大学排行榜越来越受到我国社会大众的关注。面对各式各
样的大学排行榜,人们感到眼花缭乱,社会舆论也大相径庭。事实上,大学排名是建立在大学评价
基础上的排序,既然是评价,其结果受到评价目标、评价目的、评价指标体系、评价方法等诸多因素
的影响,任何因素发生变化都会使结果发生变化。因此,不同排名机构的大学排名结果大相径庭是
在所难免的。对大学这样一个复杂的社会组织,通过几个指标进行排名本身就是有缺陷的。尽管如
此,大学排名作为社会大众认识大学的工具又是必要的。就是说,社会各方面要了解不同排行榜的
侧重点,平心静气地看待大学排行榜。 相似文献
30.
"双一流"背景下,学科建设是高校发展的重中之重。学科评估是高校学科发展建设的重要手段。为了解各学科近年来的发展状况,对最近两次评估结果进行了排名变动的特征分析。研究发现两次评估排名显著变化的学科门类为工学和医学;排名显著变动的学校集中于高水平院校及单科型普通院校。文章从评估指标和学科发展特点两方面,探寻两次学科评估结果出现显著变动的原因,结合排名显著变动情况,明晰我国当前学科建设进展,推进我国"一流学科"建设进程。 相似文献