DocumentCode :
1693983
Title :
Making Recommendations Using Location-Based Skyline Queries
Author :
Goncalves, Marlene ; Torres, Daniela ; Perera, Graciela
Author_Institution :
Dept. de Comput., Univ. Simon Bolivar, Caracas, Venezuela
fYear :
2012
Firstpage :
111
Lastpage :
115
Abstract :
Including geo-spatial features into queries over Internet is possible with location aware devices. On the other hand, there are current applications where a user is interested in viewing the best objects chosen from a large collection, based on multiple criteria. Skyline filters out those objects that best match user´s preferences. The fusion of geo-location and preferences makes possible a new kind of Skyline queries that takes into account both location proximity and user´s preferences. A location-based Skyline is an extension of Skyline, which depends on geographical locations of interest objects. In this work, we have developed a web tool that displays the results of a location-based Skyline query and propose a new algorithm to evaluate location-based Skyline queries. Our experimental study shows our proposed algorithm outperforms existing algorithms for high-dimensional queries when data are non-duplicated.
Keywords :
geographic information systems; information filtering; query processing; recommender systems; Internet; Skyline filters; geographical locations; geospatial feature; location aware devices; location based skyline queries; making recommendations; web tool; Argon; Google; Indexes; Libraries; Poles and towers; Runtime; Skyline queries; georeferencing systems; location-based queries;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Database and Expert Systems Applications (DEXA), 2012 23rd International Workshop on
Conference_Location :
Vienna
ISSN :
1529-4188
Print_ISBN :
978-1-4673-2621-6
Type :
conf
DOI :
10.1109/DEXA.2012.44
Filename :
6327412
Link To Document :
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