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A new model for aggregating multiple criteria evaluations for relevance assessment is proposed. An Information Retrieval context is considered, where relevance is modeled as a multidimensional property of documents. The usefulness and effectiveness of such a model are demonstrated by means of a case study on personalized Information Retrieval with multi-criteria relevance. The following criteria are considered to estimate document relevance: aboutness, coverage, appropriateness, and reliability. 相似文献
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In this paper the problem of indexing heterogeneous structured documents and of retrieving semi-structured documents is considered. We propose a flexible paradigm for both indexing such documents and formulating user queries specifying soft constraints on both documents structure and content. At the indexing level we propose a model that achieves flexibility by constructing personalised document representations based on users views of the documents. This is obtained by allowing users to specify their preferences on the documents sections that they estimate to bear the most interesting information, as well as to linguistically quantify the number of sections which determine the global potential interest of the documents. At the query language level, a flexible query language for expressing soft selection conditions on both the documents structure and content is proposed. 相似文献
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Shwartz Gabriella Shav-Artza Or Dori Yehudit Judy 《Journal of Science Education and Technology》2021,30(5):692-705
Journal of Science Education and Technology - In response to the realization that qualified applicants’ choice of a career in chemistry is declining, we investigated the factors involved in... 相似文献
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Crowdsourcing relevance judgments for the evaluation of search engines is used increasingly to overcome the issue of scalability that hinders traditional approaches relying on a fixed group of trusted expert judges. However, the benefits of crowdsourcing come with risks due to the engagement of a self-forming group of individuals—the crowd, motivated by different incentives, who complete the tasks with varying levels of attention and success. This increases the need for a careful design of crowdsourcing tasks that attracts the right crowd for the given task and promotes quality work. In this paper, we describe a series of experiments using Amazon’s Mechanical Turk, conducted to explore the ‘human’ characteristics of the crowds involved in a relevance assessment task. In the experiments, we vary the level of pay offered, the effort required to complete a task and the qualifications required of the workers. We observe the effects of these variables on the quality of the resulting relevance labels, measured based on agreement with a gold set, and correlate them with self-reported measures of various human factors. We elicit information from the workers about their motivations, interest and familiarity with the topic, perceived task difficulty, and satisfaction with the offered pay. We investigate how these factors combine with aspects of the task design and how they affect the accuracy of the resulting relevance labels. Based on the analysis of 960 HITs and 2,880 HIT assignments resulting in 19,200 relevance labels, we arrive at insights into the complex interaction of the observed factors and provide practical guidelines to crowdsourcing practitioners. In addition, we highlight challenges in the data analysis that stem from the peculiarity of the crowdsourcing environment where the sample of individuals engaged in specific work conditions are inherently influenced by the conditions themselves. 相似文献
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Gabriella Coleman 《The Information Society》2013,29(2):137-138
Various distributed work arrangements have been enabled by advances in information system and communication technologies. To date, these new arrangements have met with varying success, and it is unclear what outcomes society, organizations, and individuals expect from such new work settings. Moreover, we do not understand how aspects of the work environment, tasks, employees, management, and technology might interact to result in different outcomes. This article attempts to provide an integrative view of research on distributed work arrangements and provides a framework for exploring the impacts of these arrangements. 相似文献
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Electronic services in the public sector: A conceptual framework 总被引：1，自引：0，他引：1
Electronic services provided by governmental organizations, here referred to as public e-services, are frequently discussed in the e-government literature. There is, however, little consensus on the meaning of the concepts used to describe and discuss these e-services, and hence, the literature is full of synonymous terms and concepts. This paper is conceptual and presents efforts to understand e-services in the public sector domain by unpacking the public e-service concept into three dimensions; as being (1) a service, (2) electronic, and (3) public (as contrasted to being private). Based on a hermeneutic analysis, these dimensions are discussed in a number of combinations, illustrating that a multi-dimensional take on public e-services must be adopted in order to capture the complexity of governmentally supplied e-services and contribute to theory development, as well as practical utility. 相似文献
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Gabriella Belli 《中外文化交流》2006,(11):8-11
二战后意大利艺术的关键问题是具象和抽象的争吵，从争吵的答案或确切地说是争吵的发展中，萌发了意大利的当代艺术。 相似文献