caa a22 4500 606229086 CHVBK 20210128101207.0 cr unu---uuuuu 210128e20150801xx s 000 0 eng 10.1007/s10796-014-9526-1 doi (NATIONALLICENCE)springer-10.1007/s10796-014-9526-1 On the inaccuracy of numerical ratings: dealing with biased opinions in social networks [Elektronische Daten] [Roberto Centeno, Ramón Hermoso, Maria Fasli] In this work, we study the potential problems emanating from using numerical ratings in social networks to rank entities regarding their reputation. In particular, we empirically demonstrate how reputation rankings as collected and managed by current systems are likely to be skewed due to subjectivity problems associated with the use of numerical ratings to encapsulate preferences. With the aim of overcoming these problems, we put forward an approach in which users are asked for their opinions about entities in a comparative fashion. In order to select the most appropriate users to be queried, we take advantage of the social structure derived from the interactions among users and entities following a principle of heterogeneity. Finally, we evaluate the proposed approach in the domain of movie ratings by using real datasets collected from different web sites. Springer Science+Business Media New York, 2014 Ratings nationallicence Reputation nationallicence Pairwise elicitation nationallicence Opinions nationallicence Social networks nationallicence Centeno Roberto Dpto. de Lenguajes y Sistemas Informáticos, UNED, c/ Juan del Rosal 16, 28040, Madrid, Spain aut Hermoso Ramón School of Computer Science and Electronic Engineering, University of Essex, Wivenhoe Park, CO4 3SQ, Colchester, UK aut Fasli Maria School of Computer Science and Electronic Engineering, University of Essex, Wivenhoe Park, CO4 3SQ, Colchester, UK aut Information Systems Frontiers Springer US; http://www.springer-ny.com 17/4(2015-08-01), 809-825 1387-3326 17:4<809 2015 17 10796 https://doi.org/10.1007/s10796-014-9526-1 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10796-014-9526-1 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Centeno Roberto Dpto. de Lenguajes y Sistemas Informáticos, UNED, c/ Juan del Rosal 16, 28040, Madrid, Spain aut NATIONALLICENCE 700 1- Hermoso Ramón School of Computer Science and Electronic Engineering, University of Essex, Wivenhoe Park, CO4 3SQ, Colchester, UK aut NATIONALLICENCE 700 1- Fasli Maria School of Computer Science and Electronic Engineering, University of Essex, Wivenhoe Park, CO4 3SQ, Colchester, UK aut NATIONALLICENCE 773 0- Information Systems Frontiers Springer US; http://www.springer-ny.com 17/4(2015-08-01), 809-825 1387-3326 17:4<809 2015 17 10796