Finding the best ranking model for spatial objects

dc.contributor.author	Hadi Fanaee Tork	en
dc.date.accessioned	2017-11-16T14:18:49Z
dc.date.available	2017-11-16T14:18:49Z
dc.date.issued	2012	en
dc.description.abstract	Top-k spatial preference queries has a wide range of applications in service recommendation and decision support systems. In this work we first introduce three state of the art algorithms and apply them on a real data set which includes geographic coordinates and quality data of over 355 hotels, 276 point of interests and 563 restaurants in Lisbon, Portugal extracted from well-known TripAdvisor2. This is the first time that mentioned algorithms are evaluated on a real data set. We also use some optimization tasks for the estimation of algorithms parameters. Finally we rank the hotels using the best obtained ranking model. Result reveals that influence score with a particular radius is able to rank spatial objects very near to the real rankings.	en
dc.identifier.uri	http://repositorio.inesctec.pt/handle/123456789/2926
dc.language	eng	en
dc.relation	5732	en
dc.rights	info:eu-repo/semantics/openAccess	en
dc.title	Finding the best ranking model for spatial objects	en
dc.type	conferenceObject	en
dc.type	Publication	en