Proceedings of the 17th International Conference on Data Engineering
An optimal and progressive algorithm for skyline queries
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Location Based Services
Maximal vector computation in large data sets
VLDB '05 Proceedings of the 31st international conference on Very large data bases
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Continuous Skyline Queries for Moving Objects
IEEE Transactions on Knowledge and Data Engineering
Continuous nearest neighbor search
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Location-Dependent Skyline Query
MDM '08 Proceedings of the The Ninth International Conference on Mobile Data Management
Continuous visible nearest neighbor queries
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Continuous obstructed nearest neighbor queries in spatial databases
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Monitoring path nearest neighbor in road networks
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Monitoring Orientation of Moving Objects around Focal Points
SSTD '09 Proceedings of the 11th International Symposium on Advances in Spatial and Temporal Databases
Direction-based spatial skylines
Proceedings of the Ninth ACM International Workshop on Data Engineering for Wireless and Mobile Access
Direction-based spatial skylines
Proceedings of the Ninth ACM International Workshop on Data Engineering for Wireless and Mobile Access
Direction-based surrounder queries for mobile recommendations
The VLDB Journal — The International Journal on Very Large Data Bases
Topological operators: a relaxed query processing approach
Geoinformatica
General spatial skyline operator
DASFAA'12 Proceedings of the 17th international conference on Database Systems for Advanced Applications - Volume Part I
Efficient general spatial skyline computation
World Wide Web
Efficient algorithms for spatial skyline query with uncertainty
Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
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Traditional location-based services recommend nearest objects to the user by considering their spatial proximity. However, an object not only has its distance but also has its direction which originates from the user to it. In this paper, we study direction-based spatial skyline queries (DSS queries) which retrieve nearest objects around the user from different directions. The closer object is better than or dominates the further object if they are in the same direction. The objects that cannot be dominated by any other object are included in the direction-based spatial skyline (DSS). We propose algorithms to answer snapshot queries which find objects on the DSS according to the user's current position. We also develop algorithms to support continuous queries which retrieve objects on the DSS while the user is moving linearly. Extensive experiments verify the performance of our proposed algorithms using both real and synthetic datasets.