48138 20210121114517.0 doi 10.1103/PhysRevE.92.012811 sideral 93481 ART-2015-93481 eng (orcid)0000-0001-6859-099X Fiasconaro, A. Universidad de Zaragoza Hybrid recommendation methods in complex networks 2015 Access copy available to the general public Unrestricted We propose two recommendation methods, based on the appropriate normalization of already existing similarity measures, and on the convex combination of the recommendation scores derived from similarity between users and between objects. We validate the proposed measures on three data sets, and we compare the performance of our methods to other recommendation systems recently proposed in the literature. We show that the proposed similarity measures allow us to attain an improvement of performances of up to 20% with respect to existing nonparametric methods, and that the accuracy of a recommendation can vary widely from one specific bipartite network to another, which suggests that a careful choice of the most suitable method is highly relevant for an effective recommendation on a given system. Finally, we study how an increasing presence of random links in the network affects the recommendation scores, finding that one of the two recommendation algorithms introduced here can systematically outperform the others in noisy data sets. info:eu-repo/semantics/openAccess by-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ 2.252 2015 PHYSICS, MATHEMATICAL 6 / 53 = 0.113 2015 Q1 T1 PHYSICS, FLUIDS & PLASMAS 10 / 30 = 0.333 2015 Q2 T2 1.183 2015 Condensed Matter Physics 2015 Q1 Statistical and Nonlinear Physics 2015 Q1 Statistics and Probability 2015 Q2 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Tumminello, M. Nicosia, V. Latora, V. Mantegna, R.N. 2003 395 Universidad de Zaragoza Dpto. Física Materia Condensa. Área Física Materia Condensada 92, 1 (2015), 012811 [10 p.] Phys. rev., E Physical Review E 2470-0045 548041 http://zaguan.unizar.es/record/48138/files/texto_completo.pdf Versión publicada 133838 http://zaguan.unizar.es/record/48138/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:48138 articulos driver 2021-01-21-11:00:23 ARTICLE