The R*-tree: an efficient and robust access method for points and rectangles
SIGMOD '90 Proceedings of the 1990 ACM SIGMOD international conference on Management of data
A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs
SIAM Journal on Scientific Computing
Combining fuzzy information from multiple systems
Journal of Computer and System Sciences
Distance browsing in spatial databases
ACM Transactions on Database Systems (TODS)
Efficient OLAP Operations in Spatial Data Warehouses
SSTD '01 Proceedings of the 7th International Symposium on Advances in Spatial and Temporal Databases
Optimal aggregation algorithms for middleware
Journal of Computer and System Sciences - Special issu on PODS 2001
Indexing and ranking in Geo-IR systems
Proceedings of the 2005 workshop on Geographic information retrieval
Hybrid index structures for location-based web search
Proceedings of the 14th ACM international conference on Information and knowledge management
Efficient query processing in geographic web search engines
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Keyword Search on Spatial Databases
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Efficient retrieval of the top-k most relevant spatial web objects
Proceedings of the VLDB Endowment
Geospatial route extraction from texts
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Data Mining for Geoinformatics
Retrieving top-k prestige-based relevant spatial web objects
Proceedings of the VLDB Endowment
IR-Tree: An Efficient Index for Geographic Document Search
IEEE Transactions on Knowledge and Data Engineering
Efficient processing of top-k spatial keyword queries
SSTD'11 Proceedings of the 12th international conference on Advances in spatial and temporal databases
Spatio-textual indexing for geographical search on the web
SSTD'05 Proceedings of the 9th international conference on Advances in Spatial and Temporal Databases
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Novel Web technologies and resulting applications have lead to a participatory data ecosystem that when utilized properly will lead to more rewarding services. In this work, we investigate the case of Location-based Services and specifically of how to improve the typical location-based Point-Of-Interest (POI) request processed as a k-Nearest-Neighbor query. This work introduces Links-of-interest (LOI) between POIs as a means to increase the relevance and overall result quality of such queries. By analyzing user-contributed content in the form of travel blogs, we establish the overall popularity of a LOI, i.e., how frequently the respective POI pair is mentioned in the same context. Our contribution is a query processing method for so-called k-Relevant Nearest Neighbor (k-RNN) queries that considers spatial proximity in combination with LOI information to retrieve close-by and relevant (as judged by the crowd) POIs. Our method is based on intelligently combining indices for spatial data (a spatial grid) and for relevance data (a graph) during query processing. An experimental evaluation using real and synthetic data establishes that our approach efficiently solves the k-RNN problem when compared to existing methods.