Using Qualitative Reasoning for a Recommender System

Authors:
Llorenç Roselló;Mónica Sánchez;Núria Agell;Francesc Prats
Affiliations:
Dept. Matemàtica Aplicada 2, Universitat Politècnica de Catalunya;Dept. Matemàtica Aplicada 2, Universitat Politècnica de Catalunya;ESADE --Business School, Universitat Ramon Llull;Dept. Matemàtica Aplicada 2, Universitat Politècnica de Catalunya
Venue:
Proceedings of the 2010 conference on Artificial Intelligence Research and Development: Proceedings of the 13th International Conference of the Catalan Association for Artificial Intelligence
Year:
2010

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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.