Using qualitative reasoning for a recommender system

Llorenç Roselló, Mónica Sánchez, N. Agell, Francesc Prats

Research output: Book chapterConference contributionpeer-review

Abstract

This paper presents the foundation for a new methodology for a collaborative recommender system (RS). This methodology is based on the degree of consensus of a group of users stating their preferences via qualitative orders-of-magnitude. The structure of distributive lattice is considered in defining the distance between users and the RSs new users. This proposed methodology incorporates incomplete or partial knowledge into the recommendation process using qualitative reasoning techniques to obtain consensus of its users for recommendations.

Original languageEnglish
Title of host publicationArtificial Intelligence Research and Development
PublisherIOS Press
Pages173-182
Number of pages10
ISBN (Print)9781607506423
DOIs
Publication statusPublished - 2010
Externally publishedYes

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume220
ISSN (Print)0922-6389

Keywords

  • Consensus
  • Qualitative Reasoning
  • Recommender System

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