About: Learning different user profile annotated rules for fuzzy preference top-k querying

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Uncertainty querying of large data can be solved by providing top-k answers according to a user fuzzy ranking/scoring function. Usually different users have different fuzzy scoring function - a user preference model. Main goal of this paper is to assign a user a preference model automatically. To achieve this we decompose user's fuzzy ranking function to ordering of particular attributes and to a combination function. To solve the problem of automatic assignment of user model we design two algorithms, one for learning user preference on particular attribute and second for learning the combination function. Methods were integrated into a Fagin-like top-k querying system with some new heuristics and tested Uncertainty querying of large data can be solved by providing top-k answers according to a user fuzzy ranking/scoring function. Usually different users have different fuzzy scoring function - a user preference model. Main goal of this paper is to assign a user a preference model automatically. To achieve this we decompose user's fuzzy ranking function to ordering of particular attributes and to a combination function. To solve the problem of automatic assignment of user model we design two algorithms, one for learning user preference on particular attribute and second for learning the combination function. Methods were integrated into a Fagin-like top-k querying system with some new heuristics and tested (en)
Title	Learning different user profile annotated rules for fuzzy preference top-k querying Learning different user profile annotated rules for fuzzy preference top-k querying (en)
skos:prefLabel	Learning different user profile annotated rules for fuzzy preference top-k querying Learning different user profile annotated rules for fuzzy preference top-k querying (en)
skos:notation	RIV/00216208:11320/07:10109922!RIV12-MSM-11320___
http://linked.open...avai/riv/aktivita	Z
http://linked.open...avai/riv/aktivity	Z(MSM0021620838)
http://linked.open...iv/cisloPeriodika	4772
http://linked.open...vai/riv/dodaniDat	2012
http://linked.open...aciTvurceVysledku	Eckhardt, Alan Vojtáš, Peter
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Univerzita Karlova v Praze / Matematicko-fyzikální fakulta
http://linked.open...dnocenehoVysledku	430686
http://linked.open...ai/riv/idVysledku	RIV/00216208:11320/07:10109922
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	querying; top-k; preference; fuzzy; for; rules; annotated; profile; user; different; Learning (en)
http://linked.open.../riv/klicoveSlovo	top-k Learning querying annotated different for profile rules fuzzy preference user
http://linked.open...odStatuVydavatele	DE - Spolková republika Německo
http://linked.open...ontrolniKodProRIV	[B30AD3DB3D2F]
http://linked.open...i/riv/nazevZdroje	Lecture Notes in Computer Science
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...UplatneniVysledku	2007
http://linked.open...v/svazekPeriodika	2007
http://linked.open...iv/tvurceVysledku	Vojtáš, Peter Eckhardt, Alan Horváth, Tomáš
http://linked.open...n/vavai/riv/zamer	Moderní metody, struktury a systémy informatiky
issn	0302-9743
number of pages	15 (xsd:int)
http://localhost/t...ganizacniJednotka	11320

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