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Authors: Alan Cardoso 1 ; Daniel Rocha 1 ; Rafael Sachetto 1 ; Leonardo Rocha 1 ; Fernando Mourão 2 and Wagner Meira Jr. 2

Affiliations: 1 Federal University of São João Del Rei (UFSJ), Brazil ; 2 Federal University of Minas Gerais (UFMG), Brazil

Keyword(s): Recommender systems, Evolutive, Characterization.

Abstract: Recommender Systems (RSs) have become increasingly important tools for various commercial applications on theWeb. Despite numerous efforts, RSs still require improvements to make recommendation more effective and applicable to many real scenarios. Recent studies point out the temporal evolution as a primordial manner for improving RSs without, however, understand in detail how this evolution emerges. Thus, we propose a methodology for evolutive characterization of users and applications in order to provide a better understanding of this temporal dynamic in RSs. Applying our methodology in a real scenario has proved to be useful even to help in the choice of RSs adherents of each scenario.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Cardoso, A.; Rocha, D.; Sachetto, R.; Rocha, L.; Mourão, F. and Meira Jr., W. (2011). A CHARACTERIZATION METHODOLOGY OF EVOLUTIONARY BEHAVIOR IN RECOMMENDER SYSTEMS. In Proceedings of the 7th International Conference on Web Information Systems and Technologies (WEBIST 2011) - WTM; ISBN 978-989-8425-51-5; ISSN 2184-3252, SciTePress, pages 696-706. DOI: 10.5220/0003479306960706

@conference{wtm11,
author={Alan Cardoso. and Daniel Rocha. and Rafael Sachetto. and Leonardo Rocha. and Fernando Mourão. and Wagner {Meira Jr.}.},
title={A CHARACTERIZATION METHODOLOGY OF EVOLUTIONARY BEHAVIOR IN RECOMMENDER SYSTEMS},
booktitle={Proceedings of the 7th International Conference on Web Information Systems and Technologies (WEBIST 2011) - WTM},
year={2011},
pages={696-706},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003479306960706},
isbn={978-989-8425-51-5},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Web Information Systems and Technologies (WEBIST 2011) - WTM
TI - A CHARACTERIZATION METHODOLOGY OF EVOLUTIONARY BEHAVIOR IN RECOMMENDER SYSTEMS
SN - 978-989-8425-51-5
IS - 2184-3252
AU - Cardoso, A.
AU - Rocha, D.
AU - Sachetto, R.
AU - Rocha, L.
AU - Mourão, F.
AU - Meira Jr., W.
PY - 2011
SP - 696
EP - 706
DO - 10.5220/0003479306960706
PB - SciTePress

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