Improving Parallel Performance of Temporally Relevant Top-K Spatial Keyword Search
Suprio Ray, Bradford G. Nickerson · 2018
With the rapid growth of geotagged documents, top-k spatial keyword search queries (TkSKQ) have attracted a lot of attention and a number of spatio-textual indexes have been proposed. While some indexes support real-time updates over continuously generated documents, they do not support queries that simultaneously consider temporal relevance, textual similarity ranking and spatial location. Existing indexes also have limited capability to exploit parallelism.