Distributed ranking methods for geographic information retrieval

Kreveld, Marc van; Reinbacher, Iris; Arampatzis, Avi

Ponencia

dc.creator	Kreveld, Marc van	es
dc.creator	Reinbacher, Iris	es
dc.creator	Arampatzis, Avi	es
dc.date.accessioned	2017-03-20T11:59:43Z
dc.date.available	2017-03-20T11:59:43Z
dc.date.issued	2004
dc.identifier.citation	Van Kreveld, M., Reinbacher, I. y Arampatzis, A. (2004). Distributed ranking methods for geographic information retrieval. En 20th European Workshop on Computational Geometry, Sevilla.
dc.identifier.uri	http://hdl.handle.net/11441/56023
dc.description.abstract	Geographic Information Retrieval is concerned with retrieving documents that are related to some location. This paper addresses the ranking of documents by both textual relevance and spatial relevance. To this end, we introduce distributed ranking, where similar documents are ranked spreaded in the list instead of sequentially. The effect of this is that documents close together in the ranked list have less redundant information. We present various ranking methods and efficient algorithms for them.	es
dc.format	application/pdf	es
dc.language.iso	eng	es
dc.relation.ispartof	20th European Workshop on Computational Geometry (2004).
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.title	Distributed ranking methods for geographic information retrieval	es
dc.type	info:eu-repo/semantics/conferenceObject	es
dc.type.version	info:eu-repo/semantics/submittedVersion	es
dc.rights.accessRights	info:eu-repo/semantics/openAccess	es
idus.format.extent	4 p.	es
dc.eventtitle	20th European Workshop on Computational Geometry	es
dc.eventinstitution	Sevilla	es

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