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In this case study, a collaborative risk method for information security management has been analyzed considering the common problems encountered during the implementation of ISO standards in eight Turkish public organizations. This proposed risk method has been applied within different public organizations and it has been demonstrated to be effective and problem-free. The fundamental issue is that there is no legislation that regulates the information security liabilities of the public organizations in Turkey. The findings and lessons learned presented in this case provide useful insights for practitioners when implementing information security management projects in other international public sector organizations. 相似文献
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Privacy-preserving collaborative filtering schemes focus on eliminating the privacy threats inherent in single preference values, and the privacy risks in the multi-criteria preference domain are disregarded. In this work, we introduce randomized perturbation-based privacy-preserving approaches for multi-criteria collaborative filtering systems. Initially, the privacy protection methods efficiently used in traditional single-criterion systems are adapted onto multi-criteria ratings. However, these systems require intelligent protection mechanisms that are flexible and adapting to the structure of each sub-criterion. To achieve such a goal, we introduce a novel privacy-preserving protocol by adapting an entropy-based randomness determination procedure that can recover accuracy losses. The proposed protocol adjusts privacy-controlling parameters concerning the information inherent in each criterion. We experimentally evaluate the proposed schemes on three subsets of Yahoo!Movies multi-criteria preference dataset to demonstrate the effects of the proposed privacy-preserving schemes on both user privacy levels and prediction accuracy for differing sparsity rates. According to the obtained experimental outcomes, the proposed entropy-based privacy-preserving scheme can produce significantly more accurate predictions while maintaining an identical level of privacy provided by the traditional privacy protection scenario. The experimental results also confirm that the novel entropy-based privacy-preserving scheme maintains the confidentiality of personal preferences without severely compromising prediction accuracy. 相似文献
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Nurhayat Bilge 《Journal of Intercultural Communication Research》2018,47(3):226-242
Ethnicity and, by extension, ethnic identity, are problematic concepts to define. This article explores self-defined boundaries of ethnic identity by framing ethnicity as a communicative process through a narrative study focusing on a particular refugee group called Meskhetian Turks. Twelve in-depth interviews were analyzed for emerging themes. The results revealed three inter-connected themes demonstrating the significance of (1) the past, (2) cultural preservation, and (3) a sense of community. Thus, the study demonstrated self-defined borders of ethnic identity and revealed ethnicity as a communicative process, whose emergence, preservation, and continuity depends solely upon communication. 相似文献
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Popularity bias is an undesirable phenomenon associated with recommendation algorithms where popular items tend to be suggested over long-tail ones, even if the latter would be of reasonable interest for individuals. Such intrinsic tendencies of the recommenders may lead to producing ranked lists, in which items are not equally covered along the popularity tail. Although some recent studies aim to detect such biases of traditional algorithms and treat their effects on recommendations, the concept of popularity bias remains elusive for group recommender systems. Therefore, in this study, we focus on investigating popularity bias from the view of group recommender systems, which aggregate individual preferences to achieve recommendations for groups of users. We analyze various state-of-the-art aggregation techniques utilized in group recommender systems regarding their bias towards popular items. To counteract possible popularity issues in group recommendations, we adapt a traditional re-ranking approach that weighs items inversely proportional to their popularity within a group. Also, we propose a novel popularity bias mitigation procedure that re-ranks items by incorporating their popularity level and estimated group ratings in two distinct strategies. The first one aims to penalize popular items during the aggregation process highly and avoids bias better, while the second one puts more emphasis on group ratings than popularity and achieves a more balanced performance regarding conflicting goals of mitigating bias and boosting accuracy. Experiments performed on four real-world benchmark datasets demonstrate that both strategies are more efficient than the adapted approach, and empowering aggregation techniques with one of these strategies significantly decreases their bias towards popular items while maintaining reasonable ranking accuracy. 相似文献
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Çakmak-Otluoğlu K. Övgü Acar Bolat Bilge 《International Journal for Educational and Vocational Guidance》2021,21(2):263-283
International Journal for Educational and Vocational Guidance - This project validates the short forms of protean and boundaryless career attitude scales and assesses their psychometric properties... 相似文献
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Maarit Mäkelä Bilge Merve Aktaş 《The International Journal of Art & Design Education》2023,42(1):139-154
Learning takes place in various spaces through human and nonhuman interactions. Considering the urgent need for rethinking how humans relate to nature, in this article we present a MA level course in the context of art, craft and design to discuss how learning with the natural environment approach can impact learning experiences. We introduce walking with nature as a creative method that fosters students’ ability to let the environment actively shape their creative events. The encounter with nature-based materials in their different forms and following the material's flow provides students with a foundation for their creative processes. This study proposes that walking can facilitate the entanglement between the student's knowledge and encountered materials, generating an emotional and dialogical relationship with the natural environment that contributes to a holistic learning experience. We propose that such an experience can help in comprehending the importance of the caring actions we need to take and maintain towards the nonhuman world. 相似文献
7.
Bilge Yagmurlu H. Melis Yavuz 《International Journal of Disability, Development & Education》2015,62(1):83-98
The aim of the study was to investigate social competence in children with orthopaedic disability and its concurrent relations to child’s temperament, health condition, and maternal warmth. Participants were 68 Turkish children (mean = 5.94 years) with chronic orthopaedic disability and their mothers coming from disadvantaged backgrounds. Mother ratings were used to measure social competence, temperament, general health condition, and parental warmth. The attending physician rated the severity of orthopaedic disability. Attentional focusing, emotional reactivity, and child’s sex significantly predicted social competence. Age at first operation was slightly negatively associated with reactivity. The findings revealed the importance of emotional and attentional regulation for social functioning in children with orthopaedic disability, and pointed to the susceptibility of reactivity to environmental conditions. The study suggested that social functioning of youth with orthopaedic disability might benefit from temperament-based intervention and prevention programmes. 相似文献
8.
The Longitudinal Associations Among Temperament,Parenting, and Turkish Children's Prosocial Behaviors 
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下载免费PDF全文 Deborah J. Laible Asiye Kumru Gustavo Carlo Cara Streit Bilge Selcuk Melike Sayil 《Child development》2017,88(4):1057-1062
In Turkey, responsive behaviors toward kin are expected from children. Despite this, we know little about the factors that influence young Turkish children's prosocial behaviors. The goal was to explore how temperament and parenting are related to children's prosocial development in Turkey. A total of 293 Turkish children (Mage = 49 months; 48.12% females) were followed up for 3 years. Mothers completed measures of their child's prosocial behaviors, as well as measures of their warmth, inductive reasoning, and the child's approach and reactivity. Maternal warmth predicted children's reactivity, and maternal induction predicted children's sociability. Children's reactivity was inversely related to children's helping behavior and sociability was related to more prosocial behavior. Maternal warmth had indirect links with helping through lessening children's reactivity. 相似文献
9.
Nurhayat Bilge 《Journal of Intercultural Communication Research》2017,46(2):130-146
This is a qualitative study examining aspects of refugee adaptation. As refugees negotiate an adaptation process into their host cultures, secondary communities, those who possess certain commonalities and similarities with the newcomers, often act as intermediaries between the refugee groups and host cultures. This article aims to answer the question: how does a refugee group’s extended community of an intermediary group influence the group’s adaptation to their new environment and social context? The study is an examination of narratives of a particular refugee group in the United States, called Meskhetian Turks, ethnically Turkish refugees from Russia. 相似文献
10.
Privacy-preserving collaborative filtering is an emerging web-adaptation tool to cope with information overload problem without jeopardizing individuals’ privacy. However, collaborative filtering with privacy schemes commonly suffer from scalability and sparseness as the content in the domain proliferates. Moreover, applying privacy measures causes a distortion in collected data, which in turn defects accuracy of such systems. In this work, we propose a novel privacy-preserving collaborative filtering scheme based on bisecting k-means clustering in which we apply two preprocessing methods. The first preprocessing scheme deals with scalability problem by constructing a binary decision tree through a bisecting k-means clustering approach while the second produces clones of users by inserting pseudo-self-predictions into original user profiles to boost accuracy of scalability-enhanced structure. Sparse nature of collections are handled by transforming ratings into item features-based profiles. After analyzing our scheme with respect to privacy and supplementary costs, we perform experiments on benchmark data sets to evaluate it in terms of accuracy and online performance. Our empirical outcomes verify that combined effects of the proposed preprocessing schemes relieve scalability and augment accuracy significantly. 相似文献