Comparative evaluation of personalization algorithms for content recommendation

Carlos R. C. Alves, Lúcia V. L. Filgueiras

2005

Abstract

Personalization techniques that combine user characteristics, user behavior, and content organization can be used to help users on finding objectively content on the web. The main contribution of this text is the multidisciplinary study that was conducted integrating different areas on human knowledge in order to find the best way to direct content, including some wide research on personalization concepts and applications. This study also presents the development of the Argo software which is formed by a web site, a component that captures and stores information about the user navigation, and three different personalization algorithms. Using navigation data it is possible to generate user profile, which is used to recommend content. Tests were conducted to check efficiency of the personalization algorithms.

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Paper Citation


in Harvard Style

R. C. Alves C. and V. L. Filgueiras L. (2005). Comparative evaluation of personalization algorithms for content recommendation . In Proceedings of the 1st International Workshop on Web Personalisation, Recommender Systems and Intelligent User Interfaces - Volume 1: WPRSIUI, (ICETE 2005) ISBN 972-8865-38-4, pages 56-65. DOI: 10.5220/0001421900560065


in Bibtex Style

@conference{wprsiui05,
author={Carlos R. C. Alves and Lúcia V. L. Filgueiras},
title={Comparative evaluation of personalization algorithms for content recommendation},
booktitle={Proceedings of the 1st International Workshop on Web Personalisation, Recommender Systems and Intelligent User Interfaces - Volume 1: WPRSIUI, (ICETE 2005)},
year={2005},
pages={56-65},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001421900560065},
isbn={972-8865-38-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Workshop on Web Personalisation, Recommender Systems and Intelligent User Interfaces - Volume 1: WPRSIUI, (ICETE 2005)
TI - Comparative evaluation of personalization algorithms for content recommendation
SN - 972-8865-38-4
AU - R. C. Alves C.
AU - V. L. Filgueiras L.
PY - 2005
SP - 56
EP - 65
DO - 10.5220/0001421900560065