Prediction of preferences for sellers on online auctions based on evidence theory
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12510%2F14%3A43887782" target="_blank" >RIV/60076658:12510/14:43887782 - 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
Prediction of preferences for sellers on online auctions based on evidence theory
Original language description
In this paper, a new prediction method for preferences of sellers on online auctions is proposed. This method is based on belief function theory. The effects of both reputation and price of each seller who sold certain goods are represented by basic belief assignments. The proposed prediction of the choice of sellers on online auctions is then determined by a combination of these BBAs when so-called auction preference index is calculated. Experiments are used to illustrate the effectiveness of the proposed method.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Mendel 2014
ISBN
978-80-214-4984-8
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
335-340
Publisher name
University of Technology Brno
Place of publication
Brno
Event location
Brno
Event date
Jun 25, 2014
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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