@inbook{4e72413aae86482ba88199d4e1f97795,
title = "Comparative preferences induction methods for conversational recommenders",
abstract = "In an era of overwhelming choices, recommender systems aim at recommending the most suitable items to the user. Preference handling is one of the core issues in the design of recommender systems and so it is important for them to catch and model the user's preferences as accurately as possible. In previous work, comparative preferences-based patterns were developed to handle preferences deduced by the system. These patterns assume there are only two values for each feature. However, real-world features can be multi-valued. In this paper, we develop preference induction methods which aim at capturing several preference nuances from the user feedback when features have more than two values. We prove the efficiency of the proposed methods through an experimental study.",
author = "Walid Trabelsi and Nic Wilson and Derek Bridge",
year = "2013",
doi = "10.1007/978-3-642-41575-3\_28",
language = "English",
isbn = "9783642415746",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "363--374",
booktitle = "Algorithmic Decision Theory - Third International Conference, ADT 2013, Proceedings",
address = "Germany",
note = "3rd International Conference on Algorithmic Decision Theory, ADT 2013 ; Conference date: 13-11-2013 Through 15-11-2013",
}