Learning user preferences for top-k querying - improving learning of the higher ranked objects
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F10%3A10033291" target="_blank" >RIV/00216208:11320/10:10033291 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Learning user preferences for top-k querying - improving learning of the higher ranked objects
Original language description
In this paper we deal with user preference learning to enable top-k querying. Input for learning is user overall rating of a sample set of objects. We introduce a new method which favours the higher rated objects. We present a method for evaluating the top-k query results according to this preferences favouring top of the list. We compare our method to several methods and evaluate experiments on a real data set.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GAP202%2F10%2F0761" target="_blank" >GAP202/10/0761: Web Semantization</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 4th Asia International Symposium on Mechatronics
ISBN
978-981-08-7723-1
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
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Publisher name
AISM 2010 Organizers
Place of publication
9 Engineering Dr. 1, Singapore
Event location
Singapore
Event date
Dec 15, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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