A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit <a rel="external noopener" href="https://static.aminer.org/pdf/20170130/pdfs/sigmod/w5t87hdt1sj20a93ubeqfpvxfigqakzn.pdf">the original URL</a>. The file type is <code>application/pdf</code>.
<i title="ACM Press">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vxrc3vebzzachiwy3nopwi3h5u" style="color: black;">Second International ACM Workshop on Managing and Mining Enriched Geo-Spatial Data - GeoRich'15</a>
Top-k spatial-textual queries have received significant attention in the research community. Several techniques to efficiently process this class of queries are now widely used in a variety of applications. However, the problem of how best to process multiple queries efficiently is not well understood. Applications relying on processing continuous streams of queries, and offline pre-processing of other queries could benefit from solutions to this problem. In this work, we study practical<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2786006.2786008">doi:10.1145/2786006.2786008</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/sigmod/ChoudhuryCS15.html">dblp:conf/sigmod/ChoudhuryCS15</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3ygnep7fbrbmfdx75gx7ujlgb4">fatcat:3ygnep7fbrbmfdx75gx7ujlgb4</a> </span>
more »... ns to efficiently process a set of top-k spatial-textual queries. We propose an efficient best-first algorithm for the batch processing of top-k spatial-textual queries that promotes shared processing and reduced I/O in each query batch. By grouping similar queries and processing them simultaneously, we are able to demonstrate significant performance gains using publicly available datasets.
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190218093253/https://static.aminer.org/pdf/20170130/pdfs/sigmod/w5t87hdt1sj20a93ubeqfpvxfigqakzn.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a2/f8/a2f83dd50595e02979445b03ae01436ed722f770.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2786006.2786008"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>