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%3A00206193" target="_blank" >RIV/00216208:11320/07:00206193 - 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

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Czech description

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Type

D - Article in proceedings

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

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2007

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

DATESO 2007

ISBN

978-80-7378-002-9

ISSN

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e-ISSN

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Number of pages

12

Pages from-to

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Publisher name

Matfyz Press, Praha

Place of publication

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Event location

Neuveden

Event date

Jan 1, 2007

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

000272455400010