1,722 research outputs found

    Philanthropy on the Road to Nationhood in Singapore Philanthropy in Asia: Working Paper No. 1

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    This paper attempts to address the gap in knowledge on the contributions by philanthropic players to national development in Singapore. Using grounded research, it explores the evolution of giving by individuals, the community and the private sector in Singapore from the end of World War II in 1945 to today. It looks at how each group gives towards prevailing social needs, unexpected events and crises as well as government calls for community support across fve key phases in Singapore's journey to nationhood. To provide context to the giving, the political and socio-economic situation of each time frame and concurrent government social welfare provisions in each phase are also described

    Overview of the 2005 cross-language image retrieval track (ImageCLEF)

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    The purpose of this paper is to outline efforts from the 2005 CLEF crosslanguage image retrieval campaign (ImageCLEF). The aim of this CLEF track is to explore the use of both text and content-based retrieval methods for cross-language image retrieval. Four tasks were offered in the ImageCLEF track: a ad-hoc retrieval from an historic photographic collection, ad-hoc retrieval from a medical collection, an automatic image annotation task, and a user-centered (interactive) evaluation task that is explained in the iCLEF summary. 24 research groups from a variety of backgrounds and nationalities (14 countries) participated in ImageCLEF. In this paper we describe the ImageCLEF tasks, submissions from participating groups and summarise the main fndings

    Blended learning: an institutional approach for enhancing students\u27 learning experiences

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    Influence of Social Circles on User Recommendations

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    Recommender systems are powerful tools that filter and recommend content relevant to a user. One of the most popular techniques used in recommender systems is collaborative filtering. Collaborative filtering has been successfully incorporated in many applications. However, these recommendation systems require a minimum number of users, items, and ratings in order to provide effective recommendations. This results in the infamous cold start problem where the system is not able to produce effective recommendations for new users. In recent times, with escalation in the popularity and usage of social networks, people tend to share their experiences in the form of reviews and ratings on social media. The components of social media like influence of friends, users\u27 interests, and friends\u27 interests create many opportunities to develop solutions for sparsity and cold start problems in recommender systems. This research observes these patterns and analyzes the role of social trust in baseline social recommender algorithms SocialMF - a matrix factorization-based model, SocialFD - a model that uses distance metric learning, and GraphRec - an attention-based deep learning model. Through extensive experimentation, this research compares the performance and results of these algorithms on datasets that these algorithms were tested on and one new dataset using the evaluations metrics such as root mean squared error (RMSE) and mean absolute error (MAE). By modifying the social trust component of these datasets, this project focuses on investigating the impact of trust on performance of these models. Experimental results of this research suggest that there is no conclusive evidence on how trust propagation plays a major part in these models. Moreover, these models show slightly improved performance when supplied with modified trust data

    Strategic cultures of philanthropy: English universities and the changing geographies of giving

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    UK universities are receiving record amounts of funding from private philanthropists. In 2013, it was reported that, for the first time, UK Higher Education Institutions (HEIs) obtained more major donations from philanthropic sources than any other cause. Three decades of increased neoliberalism and internationalisation of the Higher Education (HE) sector, together with a decline in state funding, have heightened the imperative for English universities in particular to intensify engagement with potential private donors. The UK government, via its Matched Funding Scheme (MFS) 2008-2011, sought to incentivise giving to HEIs in England. Universities have thus been encouraged to grow a 'culture' of philanthropy. Yet, there has been limited investigation by geographers into the impact of private donations on UK HEIs.In this paper, we undertake a critical examination of the official publications of 17 diverse English HEIs which participated in the MFS 2008-2011. Particular attention is paid to the differentiated levels of participation by universities with the MFS and the ways in which donations were represented in their public documents. We argue that diverse cultures of HEI engagement with philanthropic giving are critically linked to their: location in conventional institutional hierarchies; integration in professional knowledge networks; and ability to mobilise strategic connections across geographical scales. In doing so, we advance theoretical work on the role of philanthropic giving in reconfiguring contemporary geographies of HE. © 2014 Elsevier Ltd
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