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Sequeval: A Framework to Assess and Benchmark Sequence-based Recommender Systems
[article]
2018
arXiv
pre-print
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 recommender is trained considering the sequences already available in the system and its purpose is to generate a personalized sequence starting from an initial seed. This tool automatically evaluates the sequence-based recommender considering a comprehensive set of eight different metrics adapted to the sequential
arXiv:1810.04956v2
fatcat:noxzfjb2kfc2xbeaaznhrdc2wy