Looking for trustworthy relief channels: A social recommender approach
Looking for trustworthy relief channels: A social recommender approach
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寻找值得信赖的救济渠道：社会推荐方法
DOI：
10.1109/icedeg.2017.7962553
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
J. Torres
中科院分区：
文献类型：
--
作者：
J. Torres
每年，自然灾害都会对基础设施造成严重破坏，并造成重大人员伤亡。非政府组织和活动人士利用社交媒体网络传播和组织救灾工作，但往往无法有效地召集志愿者和资源。利用众包社交媒体服务（如Twitter、Facebook、b谷歌+）的力量，我们可以提供值得信赖的渠道，为非政府组织和活动家领导的救援工作做出贡献。本研究项目旨在确定建立社会推荐模型的最佳方法，该模型基于公民在社交网络上的细粒度地理空间足迹所表现出的人类行为动态。因此，其目的是为值得信赖的活动人士提供位置感知建议，使公民能够在诸如自然灾害等事件期间更有效地作出贡献。
Each year, natural disasters cause severe damage to infrastructure and lead to significant losses of human lives. Non-governmental organizations (NGOs) and activists use social media networks to disseminate and organize relief efforts, but are often unable to efficiently gather volunteers and resources. Harnessing the power of crowdsourced social media services (e.g. Twitter, Facebook, Google+), we can provide trustworthy channels that can contribute in the relief efforts lead by NGOs and activists. This research project seeks to determine the best approach to build a social recommender model based on the dynamics of human behavior exhibited by fine-grained geospatial footprints of citizens on social networks. Thus, the aim is to provide location-aware recommendations of trustworthy activists, enabling citizens to contribute more efficiently during events, such as, natural disasters.