334 citations · 383 across the 8 of their papers we have counts for
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cs.IR2018
Sequeval: A Framework to Assess and Benchmark Sequence-based Recommender Systems
Diego Monti, Enrico Palumbo, Giuseppe Rizzo +1
In this paper, we present sequeval, a software tool capable of performing the offline evaluation of a recommender system designed to suggest a sequence of items. A sequence-based r…
cs.IR2018
A Distributed and Accountable Approach to Offline Recommender Systems Evaluation
Diego Monti, Giuseppe Rizzo, Maurizio Morisio
Different software tools have been developed with the purpose of performing offline evaluations of recommender systems. However, the results obtained with these tools may be not di…