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Statements

Subject Item
n2:RIV%2F67985807%3A_____%2F13%3A00396904%21RIV14-GA0-67985807
rdf:type
n12:Vysledek skos:Concept
dcterms:description
Reputation systems become more and more important in the on-line and e-commerce communities. Example widespread on-line system where reputation could be used is information system which allows users to rate each other and express their experiences and opinions on some products or services. In this paper, we are interested in reputation of others from the perspective of one user. This reputation is called personalized and users can make use of it to find out proper information about certain products. We implement personalized reputation system for information systems using machine learning methods. Our system incorporates artificial neural networks and random forests as well as a standard heuristic method, and it has been tested on a large real world dataset. Reputation systems become more and more important in the on-line and e-commerce communities. Example widespread on-line system where reputation could be used is information system which allows users to rate each other and express their experiences and opinions on some products or services. In this paper, we are interested in reputation of others from the perspective of one user. This reputation is called personalized and users can make use of it to find out proper information about certain products. We implement personalized reputation system for information systems using machine learning methods. Our system incorporates artificial neural networks and random forests as well as a standard heuristic method, and it has been tested on a large real world dataset.
dcterms:title
Using machine learning methods in a personalized reputation system Using machine learning methods in a personalized reputation system
skos:prefLabel
Using machine learning methods in a personalized reputation system Using machine learning methods in a personalized reputation system
skos:notation
RIV/67985807:_____/13:00396904!RIV14-GA0-67985807
n12:predkladatel
n13:ico%3A67985807
n3:aktivita
n15:P n15:I
n3:aktivity
I, P(GA13-17187S)
n3:dodaniDat
n21:2014
n3:domaciTvurceVysledku
n20:6036627
n3:druhVysledku
n9:D
n3:duvernostUdaju
n18:S
n3:entitaPredkladatele
n17:predkladatel
n3:idSjednocenehoVysledku
113130
n3:idVysledku
RIV/67985807:_____/13:00396904
n3:jazykVysledku
n10:eng
n3:klicovaSlova
reputation systems; reputation propagation; reputation prediction; artificial neural networks; decision trees
n3:klicoveSlovo
n4:decision%20trees n4:artificial%20neural%20networks n4:reputation%20propagation n4:reputation%20systems n4:reputation%20prediction
n3:kontrolniKodProRIV
[D4C4EE719120]
n3:mistoKonaniAkce
Donovaly
n3:mistoVydani
North Charleston
n3:nazevZdroje
ITAT 2013: Information Technologies - Applications and Theory Workshops, Posters, and Tutorials
n3:obor
n11:IN
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
2
n3:projekt
n19:GA13-17187S
n3:rokUplatneniVysledku
n21:2013
n3:tvurceVysledku
Holeňa, Martin Pejla, J.
n3:typAkce
n8:EUR
n3:zahajeniAkce
2013-09-11+02:00
s:numberOfPages
7
n7:hasPublisher
CreateSpace Independent Publishing Platform
n14:isbn
978-1-4909-5208-6