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2009 17th International Conference on Geoinformatics
The numerical outcome of an offline experiment involving different recommender systems should be interpreted also considering the main characteristics of the available rating datasets. However, existing metrics usually exploited for comparing such datasets like sparsity and entropy are not enough informative for reliably understanding all their peculiarities. In this paper, we propose a qualitative approach for visualizing different collections of user ratings in an intuitive and comprehensibledoi:10.1109/geoinformatics.2009.5293315 fatcat:ntse4sh23zbmtji3jttup3tm5y