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

@inproceedings{Qomariyah2017LearningBP,
  title={Learning Binary Preference Relations: A Comparison of Logic-based and Statistical Approaches},
  author={Nunung Nurul Qomariyah and Dimitar Kazakov},
  booktitle={IntRS@RecSys},
  year={2017}
}
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… CONTINUE READING

Citations

Publications citing this paper.

Inductive Learning of Answer Set Programs from Noisy Examples

VIEW 13 EXCERPTS
CITES RESULTS, METHODS & BACKGROUND
HIGHLY INFLUENCED

References

Publications referenced by this paper.
SHOWING 1-10 OF 16 REFERENCES