Sequeval.mp4 (68.57 MB)
Sequeval: A Framework to Assess and Benchmark Sequence-based Recommender Systems
Version 2 2019-09-11, 14:05
Version 1 2018-08-24, 12:28
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posted on 2019-09-11, 14:05 authored by Diego MontiDiego Monti, Enrico Palumbo, Giuseppe Rizzo, Maurizio MorisioIn 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 scenario. sequeval has been developed following the best
practices of software extensibility. For this reason, it is possible to
easily integrate and evaluate novel recommendation techniques. sequeval
is publicly available as an open source tool and it aims to become a
focal point for the community to assess sequence-based recommender
systems.