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Using Qualitative Reasoning for a Recommender System
Llorenç Roselló, Mónica Sánchez, Núria Agell, Francesc Prats
173 - 182
10.3233/978-1-60750-643-0-173
Frontiers in Artificial Intelligence and Applications
Volume 220: Artificial Intelligence Research and Development
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.

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