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Information Systems Frontiers
Erschienen in: Information Systems Frontiers 4/2015

01.08.2015

On the inaccuracy of numerical ratings: dealing with biased opinions in social networks

verfasst von: Roberto Centeno, Ramón Hermoso, Maria Fasli

Erschienen in: Information Systems Frontiers | Ausgabe 4/2015

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Abstract

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.
Vorheriger Artikel Service discovery acceleration with hierarchical clustering
Nächster Artikel Satisfaction-based Web service discovery and selection scheme utilizing vague sets theory

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Fußnoten
4
This dataset was used in the 2nd International Workshop on Information Heterogeneity and Fusion in Recommender Systems (See http://​ir.​ii.​uam.​es/​hetrec2011). It is collected from the MovieLens opinion site, where movies are rated by different users.
 
5
As in the MovieLens site, this is an opinion website where movies are rated. However, in this case, movies are also reviewed by professional critics (See http://​www.​rottentomatoes.​com).
 
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Metadaten
Titel
On the inaccuracy of numerical ratings: dealing with biased opinions in social networks
verfasst von
Roberto Centeno
Ramón Hermoso
Maria Fasli
Publikationsdatum
01.08.2015
Verlag
Springer US
Erschienen in
Information Systems Frontiers / Ausgabe 4/2015
Print ISSN: 1387-3326
Elektronische ISSN: 1572-9419
DOI
https://doi.org/10.1007/s10796-014-9526-1

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