Inductive Models of User Preferences for Semantic Web

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F07%3A00005153" target="_blank" >RIV/00216208:11320/07:00005153 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Inductive Models of User Preferences for Semantic Web
Original language description
User preferences became recently a hot topic. The massive use of internet shops and social webs require the presence of a user mod- elling, which helps users to orient them selfs on a page. There are many different approaches to model user preferences. In this paper, we will overview the current state-of-the-art in the area of acquisition of user preferences and their induction. Main focus will be on the models of user preferences and on the induction of these models, but also the process of extractingpreferences from the user behaviour will be studied. We will also present our contribution to the probabilistic user models.
Czech name
Induktivní modely uživatelských preferencí pro sémantický web
Czech description
Induktivní modely uživatelských preferencí pro sémantický web

Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2007
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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