Corpus ID: 34262297

Learning Binary Preference Relations: A Comparison of Logic-based and Statistical Approaches

  title={Learning Binary Preference Relations: A Comparison of Logic-based and Statistical Approaches},
  author={Nunung Nurul Qomariyah and D. Kazakov},
It is a truth universally acknowledged that e-commerce platform users in search of an item that best suits their preferences may be o‚ered a lot of choices. An item may be characterised by many aŠributes, which can complicate the process. Here the classic approach in decision support systems to put weights on the importance of each aŠribute is not always helpful as users may €nd it hard to formulate their priorities explicitly. Pairwise comparisons provide an easy way to elicit the user’s… Expand
3 Citations


Learning User Preferences By Adaptive Pairwise Comparison
Preference Learning: An Introduction
Two of a Kind or the Ratings Game? Adaptive Pairwise Preferences and Latent Factor Models
Learning Community-Based Preferences via Dirichlet Process Mixtures of Gaussian Processes
Initial Profile Generation in Recommender Systems Using Pairwise Comparison
  • L. Rokach, S. Kisilevich
  • Computer Science
  • IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)
  • 2012
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A predictive model of music preference using pairwise comparisons
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Efficient Induction of Logic Programs