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1.
《Information processing & management》2023,60(2):103226
Nowadays assuring that search and recommendation systems are fair and do not apply discrimination among any kind of population has become of paramount importance. This is also highlighted by some of the sustainable development goals proposed by the United Nations. Those systems typically rely on machine learning algorithms that solve the classification task. Although the problem of fairness has been widely addressed in binary classification, unfortunately, the fairness of multi-class classification problem needs to be further investigated lacking well-established solutions. For the aforementioned reasons, in this paper, we present the Debiaser for Multiple Variables (DEMV), an approach able to mitigate unbalanced groups bias (i.e., bias caused by an unequal distribution of instances in the population) in both binary and multi-class classification problems with multiple sensitive variables. The proposed method is compared, under several conditions, with a set of well-established baselines using different categories of classifiers. At first we conduct a specific study to understand which is the best generation strategies and their impact on DEMV’s ability to improve fairness. Then, we evaluate our method on a heterogeneous set of datasets and we show how it overcomes the established algorithms of the literature in the multi-class classification setting and in the binary classification setting when more than two sensitive variables are involved. Finally, based on the conducted experiments, we discuss strengths and weaknesses of our method and of the other baselines. 相似文献
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Divergent Thinking is a domain-general mental attribute closely associated with creativity that can be quantified through the use of text-mining algorithms. Past research has shown that students’ Divergent Thinking is malleable in response to relatively simple contextual prompts. In addition, there is substantial variance in the degree to which individual students’ Divergent Thinking is malleable, suggesting the presence of a student-specific zone-of-proximal-development in relation to creativity. Here, we adopted a dynamic assessment paradigm that included multiple conditions under which student Divergent Thinking was measured and fit a latent profile analysis model to that dynamic assessment data. We found that, although on average the Originality of student responses can be augmented through a prompt to generate surprising or unusual ideas, three latent classes emerged that differed significantly on their patterns of augmentation. These three latent classes were termed: (a) Conventional Thinkers (7.80% of the sample), whose response to the Divergent Thinking task were highly constrained and unoriginal across all conditions (b) Prompted Shifters (66.56%), whose Originality significantly increased across conditions, and (c) Idea Generators (25.64%), whose responses were highly original across all conditions. These latent profiles were validated in regard to personality characteristics and domain-specific creative activities, with Idea Generators reporting significantly more Openness and Intellect, less Industriousness, and more creative activities across the domains of Literature, Music, Sports, Visual Art, Science, and Cooking than did the other latent classes. 相似文献
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ABSTRACT Historic Japanese textiles from over 1000 years ago generally show marked deterioration and only very rare examples show their original forms and much information about textile reproduction has been lost. The replication of textile braids lacks systematic methodology and is still being practiced by only few individual braiding experts. The recreation of original braids as close as possible to original braids is a part of Japan’s intangible cultural heritage. The aim of this study is to clarify the decision-making procedure through which the braiding experts can decipher the original braiding structures. As a preliminary study of this project, interviews of a braid researcher and a replicating expert, Makiko Tada were performed regarding her working practices. It is important to clarify the braiding parameters for structural analysis such as the number of transits and the balance of ridges, and it became clear that the orientation of multiple colored threads plays an important role. The expert’s replicate works were also analyzed using a text-mining statistical technique to clarify the relationship of braiding parameters. The relationship between each braiding parameter and production method such as loop manipulation and Taka-dai became clear. As a result, the process of deciphering the original braid structure has been compiled in simplified workflows, which could contribute to the standardization and improvement in efficiency of replication of cultural property braids. 相似文献
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[目的/意义] 大数据政策是大数据应用和发展的推动力量,其价值取向分析可以为我国政府大数据政策的制定、执行和评估提供借鉴,为大数据政策未来的发展方向提供依据。[方法/过程] 收集国务院及其各部门门户网站发布的政务大数据政策文本共计58份,运用主题分析方法对政策文本中表达政务大数据价值取向的主题进行编码分析,编码过程以NVivo12软件为辅助工具。[结果/结论] 通过主题分析,构建大数据政策价值取向总体框架,框架总结政治、经济、社会、生态与科技5个维度的价值取向,并探讨各维度及其具体价值取向间的交互关系。 相似文献
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[目的/意义] 比较分析数据管理与数据治理差异与联系,为制定科学数据开放共享政策提供参考。[方法/过程] 运用比较分析法,解析数据管理与数据治理在定义与内涵、功能、目标、原则、焦点领域5个方面的异同,由此解析其对制定我国科学数据开放共享政策的启示。[结果/结论] 数据管理与数据治理在定义与内涵、功能、目标、原则、焦点领域上都有显著差异,但两者也有内在联系。数据治理是成功实施数据管理的关键。认清两者的关系有助于明晰目前我国科学数据管理政策的不足之处,为今后完善科学数据管理办法提供参考,从而规划与制定实用的科学数据开放共享细则。 相似文献
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[目的/意义] 作为政府与青年群体沟通的重要平台,政务Bilibili账号的信息传播效果直接决定其沟通效率和效果。对政务Bilibili账号信息传播效果影响因素的研究有利于沟通效果的提升。[方法/过程] 本研究基于共青团中央Bilibili账号的471个样本,采用内容分析和回归分析等系统考察内容主题、视频类别、封面图类型、屏幕形式、字幕、组织形式、剪辑率和视频时长等因素对政务Bilibili账号信息传播效果的影响。[结果/结论] 结果表明,科技类、音乐类和时尚类主题的视频能够提升整体传播效果,科技类视频的贡献度最高;情景剧、实拍视频和监控视频都正向显著影响整体传播效果,实拍视频的贡献度最高。视频剪辑率、竖屏视频、字幕添加、合作创作等均能显著提高整体传播效果,竖屏在整体传播效果模型中的贡献度最大。视频时长和封面图的作用不显著。政务Bilibili账号运营应充分释放青年的爱国势能、创新视频形式、优化视频制作流程、创新组织形式。 相似文献
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[目的/意义] 面对多学科领域、多类型用户的专题情报服务需求,建立专题情报数据管理与智能分析平台。实现专题情报分析的流程化和智能化,同时对融入专家智慧的专题情报分析过程数据进行管理,丰富服务模式,提升服务需求响应速度。[方法/过程] 在调研已有相关研究与实践分析基础上,提出平台设计思路、建设框架,对平台主要功能和关键技术进行剖析。[结果/结论] 专题情报数据管理与智能分析平台已建设完成。平台集成了多来源多类型数据,打通了从数据到分析的服务链条。嵌入了多种情报分析方法和深度学习算法,实现了多维多层次分析服务。能够对分析过程和情报分析人员历史积累数据进行管理,实现数据共享和重复利用。 相似文献