Statistical analysis of Nomao customer votes for spots of France

Pálovics, Róbert and Daróczy, Bálint Zoltán and Benczúr, András and Pap, Júlia and Ermann, L and Phan, S and Chepelianskii, A D and Shepelyansky, D L (2015) Statistical analysis of Nomao customer votes for spots of France. EUROPEAN PHYSICAL JOURNAL B, 88 (8). p. 194. ISSN 1434-6028 10.1140/epjb/e2015-60357-1

[img] Text
Palovics__194_2931365_z.pdf
Restricted to Registered users only

Download (1MB)

Abstract

We investigate the statistical properties of votes of customers for spots of France collected by the startup company Nomao. The frequencies of votes per spot and per customer are characterized by a power law distribution which remains stable on a time scale of a decade when the number of votes is varied by almost two orders of magnitude. Using the computer science methods we explore the spectrum and the eigenvalues of a matrix containing user ratings to geolocalized items. Eigenvalues nicely map to large towns and regions but show certain level of instability as we modify the interpretation of the underlying matrix. We evaluate imputation strategies that provide improved prediction performance by reaching geographically smooth eigenvectors. We point on possible links between distribution of votes and the phenomenon of self-organized criticality.

Item Type: Article
Subjects: Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány
Divisions: Informatics Laboratory
SWORD Depositor: MTMT Injector
Depositing User: MTMT Injector
Date Deposited: 31 Jan 2016 08:20
Last Modified: 31 Jan 2016 08:20
URI: https://eprints.sztaki.hu/id/eprint/8546

Update Item Update Item