Cited By
View all- Wani STengku Sembok TMir M(2018)Context Aware Knowledge Bases for Efficient Contextual Retrieval: Design and MethodologiesComputational Science and Technology10.1007/978-981-13-2622-6_55(569-579)Online publication date: 28-Aug-2018
Prototyping a personalized contextual retrieval framework
Authors: 
Damien Palacio, 
Guillaume Cabanac, Gilles Hubert, Karen Pinel-Sauvagnat, Christian SallaberryAuthors Info & Claims
Damien Palacio, Guillaume Cabanac, Gilles Hubert, Karen Pinel-Sauvagnat, Christian SallaberryAuthors Info & ClaimsPages 43 - 44
Abstract
We introduce a framework for searching places according to user interests and spatial context. Our framework combines existing geo-tools or services (e.g., Google Places, Yahoo! BOSS Geo Services, PostGIS, Gisgraphy, Geonames) and ranks results according to features such as distance, popularity, and user preferences. We used this framework to participate in the TREC 2013 Contextual Suggestion Track.
References
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G. Hubert and G. Cabanac. IRIT at TREC 2012 Contextual Suggestion Track. In Proceedings of the 21th Text REtrieval Conference, pages 1--8, Gaithersburg, MD, USA, 2012.
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B. Jiang and X. Yao. Location-based services and GIS in perspective. Computers, Environment and Urban Systems, 30(6):712--725, 2006.
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M. Speretta and S. Gauch. Personalized search based on user search histories. In Web Intelligence, 2005. Proceedings. The 2005 IEEE/WIC/ACM International Conference on, pages 622--628, 2005.
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- Prototyping a personalized contextual retrieval framework
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Publication History
Published: 05 November 2013
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- Research-article
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SIGSPATIAL'13
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SIGSPATIAL'13: 21st SIGSPATIAL International Conference on Advances in Geographic Information Systems
November 5, 2013
Florida, Orlando
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Overall Acceptance Rate 46 of 61 submissions, 75%
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View all- Wani STengku Sembok TMir M(2018)Context Aware Knowledge Bases for Efficient Contextual Retrieval: Design and MethodologiesComputational Science and Technology10.1007/978-981-13-2622-6_55(569-579)Online publication date: 28-Aug-2018
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