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Joint Top-K Spatial Keyword Query Processing

机译:联合Top-K空间关键字查询处理

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摘要

Web users and content are increasingly being geopositioned, and increased focus is being given to serving local content in response to web queries. This development calls for spatial keyword queries that take into account both the locations and textual descriptions of content. We study the efficient, joint processing of multiple top-k spatial keyword queries. Such joint processing is attractive during high query loads and also occurs when multiple queries are used to obfuscate a user's true query. We propose a novel algorithm and index structure for the joint processing of top-k spatial keyword queries. Empirical studies show that the proposed solution is efficient on real data sets. We also offer analytical studies on synthetic data sets to demonstrate the efficiency of the proposed solution.
机译:Web用户和内容的地理分布越来越多,响应于Web查询,人们越来越注重提供本地内容。这种发展要求空间关键字查询同时考虑内容的位置和文字描述。我们研究了多个top-k空间关键字查询的高效联合处理。这种联合处理在高查询负载期间很有吸引力,并且在使用多个查询混淆用户的真实查询时也会发生。我们为top-k空间关键字查询的联合处理提出了一种新颖的算法和索引结构。实证研究表明,所提出的解决方案在真实数据集上是有效的。我们还提供有关综合数据集的分析研究,以证明所提出解决方案的效率。

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