A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL.
The file type is application/pdf
.
Efficient Algorithms and Cost Models for Reverse Spatial-Keywordk-Nearest Neighbor Search
2014
ACM Transactions on Database Systems
Geographic objects associated with descriptive texts are becoming prevalent, justifying the need for spatialkeyword queries that consider both locations and textual descriptions of the objects. Specifically, the relevance of an object to a query is measured by spatial-textual similarity that is based on both spatial proximity and textual similarity. In this article, we introduce the Reverse Spatial-Keyword k-Nearest Neighbor (RSKkNN) query, which finds those objects that have the query as one
doi:10.1145/2576232
fatcat:ucw52avvlnck5bbwzgkpunwm64