7,795 research outputs found

    Recommender Systems

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    The ongoing rapid expansion of the Internet greatly increases the necessity of effective recommender systems for filtering the abundant information. Extensive research for recommender systems is conducted by a broad range of communities including social and computer scientists, physicists, and interdisciplinary researchers. Despite substantial theoretical and practical achievements, unification and comparison of different approaches are lacking, which impedes further advances. In this article, we review recent developments in recommender systems and discuss the major challenges. We compare and evaluate available algorithms and examine their roles in the future developments. In addition to algorithms, physical aspects are described to illustrate macroscopic behavior of recommender systems. Potential impacts and future directions are discussed. We emphasize that recommendation has a great scientific depth and combines diverse research fields which makes it of interests for physicists as well as interdisciplinary researchers.Comment: 97 pages, 20 figures (To appear in Physics Reports

    Sloppy Tags and Metacrap? Quality of User Contributed Tags in Collaborative Social Tagging Systems

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    There have been an increasing number of social tagging systems on the web that allow users to contribute tags collaboratively to describe various resources. As the number of tags continue to grow, it is important that we can describe and measure their quality. There have been conflicting opinions about the quality of user-contributed tags but the issue has not been systematically studied. In this work-in-progress paper, we propose a preliminary methodology for assessing tag quality. The methodology identifies three aspects of tag quality in a social tagging system: individual tags, collections of tags, and the association of the tags with the corresponding resources. The proposed methodology is being empirically evaluated using the tags of several social tagging systems. In addition to validating and refining the tag quality assessment methodology, the empirical analysis is expected to provide new findings about various properties of the tags. These findings will be used to improve the design of tagging systems by incorporating mechanisms that induce the contribution of high quality tags

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    Open educational resources : conversations in cyberspace

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    172 p. : ill. ; 25 cm.Libro ElectrónicoEducation systems today face two major challenges: expanding the reach of education and improving its quality. Traditional solutions will not suffice, especially in the context of today's knowledge-intensive societies. The Open Educational Resources movement offers one solution for extending the reach of education and expanding learning opportunities. The goal of the movement is to equalize access to knowledge worldwide through openly and freely available online high-quality content. Over the course of two years, the international community came together in a series of online discussion forums to discuss the concept of Open Educational Resources and its potential. This publication makes the background papers and reports from those discussions available in print.--Publisher's description.A first forum : presenting the open educational resources (OER) movement. Open educational resources : an introductory note / Sally Johnstone -- Providing OER and related issues : an introductory note / Anne Margulies, ... [et al.] -- Using OER and related issues : in introductory note / Mohammed-Nabil Sabry, ... [et al.] -- Discussion highlights / Paul Albright -- Ongoing discussion. A research agenda for OER : discussion highlights / Kim Tucker and Peter Bateman -- A 'do-it-yourself' resource for OER : discussion highlights / Boris Vukovic -- Free and open source software (FOSS) and OER -- A second forum : discussing the OECD study of OER. Mapping procedures and users / Jan Hylén -- Why individuals and institutions share and use OER / Jan Hylén -- Discussion highlights / Alexa Joyce -- Priorities for action. Open educational resources : the way forward / Susan D'Antoni

    Leading schools in the digital age: A clash of cultures

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    A cultural gap is widening in English secondary schools: between a twentieth-century ethos of institutional provision and the twenty-first century expectations and digital lifestyles of school students. Perhaps disaffected by traditional teaching methods and the competitive target culture of schools, many students have turned to social networking through the cluster of computer-based applications known as Web 2.0. Here, they can communicate, share and learn informally using knowledge systems their elders can barely understand. Some of their contemporaries have turned away altogether, rejecting school and contributing to record levels of truancy and exclusion. This paper identifies a set of challenges for school leaders in relation to the growing digital/cultural gap. The government agenda for personalised learning is discussed, alongside strategies which schools might adopt to support this through the use of ICT, and both figure in scenario projections which envision how secondary education could change in the future. The paper concludes by recommending three priorities for school leaders

    Community-driven & Work-integrated Creation, Use and Evolution of Ontological Knowledge Structures

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    Personalization of tagging systems

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    Social media systems have encouraged end user participation in the Internet, for the purpose of storing and distributing Internet content, sharing opinions and maintaining relationships. Collaborative tagging allows users to annotate the resulting user-generated content, and enables effective retrieval of otherwise uncategorised data. However, compared to professional web content production, collaborative tagging systems face the challenge that end-users assign tags in an uncontrolled manner, resulting in unsystematic and inconsistent metadata. This paper introduces a framework for the personalization of social media systems. We pinpoint three tasks that would benefit from personalization: collaborative tagging, collaborative browsing and collaborative s
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