How to learn fuzzy user preferences with variable objectives

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F09%3A00207455" target="_blank" >RIV/00216208:11320/09:00207455 - isvavai.cz</a>

Alternative codes found

RIV/67985807:_____/09:00328033

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

How to learn fuzzy user preferences with variable objectives

Original language description

This paper studies a possibility to learn a complex user preference model, based on CP-nets, from user ratings. This work is motivated by the need of user modelling in decision making support, for example in e-commerce. We extend our user model based onfuzzy logic to capture variation of preference objectives. The proposed method 2CP-regression is described and tested. 2CP-regression uses CP-nets idea behind and can be considered as learning of a simple CP-net from user ratings.

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

2009

Confidentiality

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

Article name in the collection

2009 IFSA World Congress

ISBN

978-989-95079-6-8

ISSN

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e-ISSN

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Number of pages

6

Pages from-to

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Publisher name

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Place of publication

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Event location

Neuveden

Event date

Jan 1, 2009

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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