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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. (en)
Title
  • Using machine learning methods in a personalized reputation system
  • Using machine learning methods in a personalized reputation system (en)
skos:prefLabel
  • Using machine learning methods in a personalized reputation system
  • Using machine learning methods in a personalized reputation system (en)
skos:notation
  • RIV/67985807:_____/13:00396904!RIV14-GA0-67985807
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • I, P(GA13-17187S)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 113130
http://linked.open...ai/riv/idVysledku
  • RIV/67985807:_____/13:00396904
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • reputation systems; reputation propagation; reputation prediction; artificial neural networks; decision trees (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [D4C4EE719120]
http://linked.open...v/mistoKonaniAkce
  • Donovaly
http://linked.open...i/riv/mistoVydani
  • North Charleston
http://linked.open...i/riv/nazevZdroje
  • ITAT 2013: Information Technologies - Applications and Theory Workshops, Posters, and Tutorials
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Holeňa, Martin
  • Pejla, J.
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • CreateSpace Independent Publishing Platform
https://schema.org/isbn
  • 978-1-4909-5208-6
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