%0 Conference Paper
%1 dominguezgarcia2012freset
%A Dom\'ınguez Garc\'ıa, Renato
%A Bender, Matthias
%A Anjorin, Mojisola
%A Rensing, Christoph
%A Steinmetz, Ralf
%B Proceedings of the 4th ACM RecSys workshop on Recommender systems and the social web
%C New York, NY, USA
%D 2012
%I ACM
%K evaluation folksonomy framework freset
%P 25--28
%T FReSET: an evaluation framework for folksonomy-based recommender systems
%U http://doi.acm.org/10.1145/2365934.2365939
%X FReSET is a new recommender systems evaluation framework aiming to support research on folksonomy-based recommender systems. It provides interfaces for the implementation of folksonomy-based recommender systems and supports the consistent and reproducible offline evaluations on historical data. Unlike other recommender systems framework projects, the emphasis here is on providing a flexible framework allowing users to implement their own folksonomy-based recommender algorithms and pre-processing filtering methods rather than just providing a collection of collaborative filtering implementations. FReSET includes a graphical interface for result visualization and different cross-validation implementations to complement the basic functionality.