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Statements

Subject Item
n2:RIV%2F60076658%3A12510%2F14%3A43888436%21RIV15-MSM-12510___
rdf:type
skos:Concept n18:Vysledek
dcterms:description
The design of efficient methods concerning prediction of preferences of sellers on online auctions is an im-portant problem in the study of Internet auctions. In this paper, a new prediction method is proposed based on Dempster - Shafer theory of evidence. The proposed method is based on the approach used in complex networks when determining influential nodes using for example centrality measures. The suggested method takes into account the degree and strength of each node which is expressed as the number of positive evaluations (degree of reputation of a seller) and the price of sold goods (by certain seller). The effects of both reputation and price of each seller who sold certain goods are represented by basic belief assignments (BBAs). 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. The design of efficient methods concerning prediction of preferences of sellers on online auctions is an im-portant problem in the study of Internet auctions. In this paper, a new prediction method is proposed based on Dempster - Shafer theory of evidence. The proposed method is based on the approach used in complex networks when determining influential nodes using for example centrality measures. The suggested method takes into account the degree and strength of each node which is expressed as the number of positive evaluations (degree of reputation of a seller) and the price of sold goods (by certain seller). The effects of both reputation and price of each seller who sold certain goods are represented by basic belief assignments (BBAs). 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.
dcterms:title
Identification of Successful Sellers in Online Auction Identification of Successful Sellers in Online Auction
skos:prefLabel
Identification of Successful Sellers in Online Auction Identification of Successful Sellers in Online Auction
skos:notation
RIV/60076658:12510/14:43888436!RIV15-MSM-12510___
n3:aktivita
n5:I
n3:aktivity
I
n3:dodaniDat
n16:2015
n3:domaciTvurceVysledku
n11:3459586 n11:3240894 n11:6246850
n3:druhVysledku
n20:D
n3:duvernostUdaju
n9:S
n3:entitaPredkladatele
n17:predkladatel
n3:idSjednocenehoVysledku
20316
n3:idVysledku
RIV/60076658:12510/14:43888436
n3:jazykVysledku
n15:eng
n3:klicovaSlova
Link prediction; Influential sellers; Preference prediction; Online auction; Dempster - Shafer theory
n3:klicoveSlovo
n4:Dempster n4:Influential%20sellers n4:Preference%20prediction n4:Online%20auction n4:Link%20prediction
n3:kontrolniKodProRIV
[8ADA63421B7E]
n3:mistoKonaniAkce
České Budějovice
n3:mistoVydani
České Budějovice
n3:nazevZdroje
Proceedings of the 8th International Scientific Conference INPROFORUM. Investment Decision-Making in the Period of Economic Recovery
n3:obor
n12:AH
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:rokUplatneniVysledku
n16:2014
n3:tvurceVysledku
Remeš, Radim Nýdl, Václav Beránek, Ladislav
n3:typAkce
n10:EUR
n3:zahajeniAkce
2014-11-06+01:00
s:issn
2336-6788
s:numberOfPages
6
n19:hasPublisher
Jihočeská univerzita v Českých Budějovicích. Ekonomická fakulta
n13:isbn
978-80-7394-484-1
n14:organizacniJednotka
12510