Articles producció científica> Enginyeria Química

Predicting Human Preferences Using the Block Structure of Complex Social Networks

  • Identification data

    Identifier: imarina:9298208
  • Authors:

    Guimera, Roger
    Llorente, Alejandro
    Moro, Esteban
    Sales-Pardo, Marta
  • Others:

    Author, as appears in the article.: Guimera, Roger; Llorente, Alejandro; Moro, Esteban; Sales-Pardo, Marta;
    Department: Enginyeria Química
    URV's Author/s: Guimera Manrique, Roger / Sales Pardo, Marta
    Keywords: Obesity Blockmodels
    Abstract: With ever-increasing available data, predicting individuals' preferences and helping them locate the most relevant information has become a pressing need. Understanding and predicting preferences is also important from a fundamental point of view, as part of what has been called a "new" computational social science. Here, we propose a novel approach based on stochastic block models, which have been developed by sociologists as plausible models of complex networks of social interactions. Our model is in the spirit of predicting individuals' preferences based on the preferences of others but, rather than fitting a particular model, we rely on a Bayesian approach that samples over the ensemble of all possible models. We show that our approach is considerably more accurate than leading recommender algorithms, with major relative improvements between 38% and 99% over industry-level algorithms. Besides, our approach sheds light on decision-making processes by identifying groups of individuals that have consistently similar preferences, and enabling the analysis of the characteristics of those groups.
    Thematic Areas: Zootecnia / recursos pesqueiros Sociology Sociología Serviço social Saúde coletiva Química Psychology Psicología Planejamento urbano e regional / demografia Odontología Nutrição Multidisciplinary sciences Multidisciplinary Medicine (miscellaneous) Medicina veterinaria Medicina iii Medicina ii Medicina i Materiais Matemática / probabilidade e estatística Linguística e literatura Letras / linguística Interdisciplinary research in the social sciences Interdisciplinar Human geography and urban studies History & philosophy of science Historia Geografía Geociências General medicine General biochemistry,genetics and molecular biology General agricultural and biological sciences Farmacia Environmental studies Ensino Engenharias iv Engenharias iii Engenharias ii Engenharias i Enfermagem Educação física Educação Economia Direito Demography Comunicação e informação Ciências sociais aplicadas i Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências ambientais Ciências agrárias i Ciência política e relações internacionais Ciência de alimentos Ciência da computação Biotecnología Biology Biodiversidade Biochemistry, genetics and molecular biology (miscellaneous) Astronomia / física Arquitetura, urbanismo e design Archaeology Antropologia / arqueologia Anthropology Agricultural and biological sciences (miscellaneous) Administração, ciências contábeis e turismo Administração pública e de empresas, ciências contábeis e turismo
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: roger.guimera@urv.cat marta.sales@urv.cat
    Author identifier: 0000-0002-3597-4310 0000-0002-8140-6525
    Record's date: 2023-05-20
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0044620
    Papper original source: Plos One. 7 (9):
    APA: Guimera, Roger; Llorente, Alejandro; Moro, Esteban; Sales-Pardo, Marta; (2012). Predicting Human Preferences Using the Block Structure of Complex Social Networks. Plos One, 7(9), -. DOI: 10.1371/journal.pone.0044620
    Licence document URL: http://repositori.urv.cat/ca/proteccio-de-dades/
    Article's DOI: 10.1371/journal.pone.0044620
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2012
    Publication Type: Journal Publications
  • Keywords:

    Agricultural and Biological Sciences (Miscellaneous),Biochemistry, Genetics and Molecular Biology (Miscellaneous),Biology,Medicine (Miscellaneous),Multidisciplinary,Multidisciplinary Sciences
    Obesity
    Blockmodels
    Zootecnia / recursos pesqueiros
    Sociology
    Sociología
    Serviço social
    Saúde coletiva
    Química
    Psychology
    Psicología
    Planejamento urbano e regional / demografia
    Odontología
    Nutrição
    Multidisciplinary sciences
    Multidisciplinary
    Medicine (miscellaneous)
    Medicina veterinaria
    Medicina iii
    Medicina ii
    Medicina i
    Materiais
    Matemática / probabilidade e estatística
    Linguística e literatura
    Letras / linguística
    Interdisciplinary research in the social sciences
    Interdisciplinar
    Human geography and urban studies
    History & philosophy of science
    Historia
    Geografía
    Geociências
    General medicine
    General biochemistry,genetics and molecular biology
    General agricultural and biological sciences
    Farmacia
    Environmental studies
    Ensino
    Engenharias iv
    Engenharias iii
    Engenharias ii
    Engenharias i
    Enfermagem
    Educação física
    Educação
    Economia
    Direito
    Demography
    Comunicação e informação
    Ciências sociais aplicadas i
    Ciências biológicas iii
    Ciências biológicas ii
    Ciências biológicas i
    Ciências ambientais
    Ciências agrárias i
    Ciência política e relações internacionais
    Ciência de alimentos
    Ciência da computação
    Biotecnología
    Biology
    Biodiversidade
    Biochemistry, genetics and molecular biology (miscellaneous)
    Astronomia / física
    Arquitetura, urbanismo e design
    Archaeology
    Antropologia / arqueologia
    Anthropology
    Agricultural and biological sciences (miscellaneous)
    Administração, ciências contábeis e turismo
    Administração pública e de empresas, ciências contábeis e turismo
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