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Metasomatic Textures in Granites
E-commerce platforms explore the interaction between users and digital content -user generated streams of events -to build and maintain dynamic user preference models which are used to make meaningful recommendations. However, the accuracy of these incremental models is critically affected by the choice of hyper-parameters. So far, the incremental recommendation algorithms used to process data streams rely on human expertise for hyper-parameter tuning. In this paper we apply our Selfdoi:10.1007/978-3-030-14880-5_8 dblp:conf/pkdd/VelosoGMV18 fatcat:42qazy3r55eblflkrglkta2wci