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首页> 外文期刊>Knowledge and Data Engineering, IEEE Transactions on >Joint Search by Social and Spatial Proximity
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Joint Search by Social and Spatial Proximity

机译:社会和空间邻近度的联合搜索

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摘要

The diffusion of social networks introduces new challenges and opportunities for advanced services, especially so with their ongoing addition of location-based features. We show how applications like company and friend recommendation could significantly benefit from incorporating social and spatial proximity, and study a query type that captures these two-fold semantics. We develop highly scalable algorithms for its processing, and enhance them with elaborate optimizations. Finally, we use real social network data to empirically verify the efficiency and efficacy of our solutions.
机译:社交网络的扩散给高级服务带来了新的挑战和机遇,尤其是随着它们不断添加基于位置的功能。我们展示了公司和朋友推荐之类的应用程序如何通过融入社交和空间邻近性而显着受益,并研究了捕获这些双重语义的查询类型。我们为其处理开发了高度可扩展的算法,并通过精心的优化对其进行了增强。最后,我们使用真实的社交网络数据来实证验证我们解决方案的效率和功效。

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