AVATAR: A Flexible Approach to Improve the Personalized TV by Semantic Inference

Yolanda Blanco Fernández, Jose J. Pazos Arias, Alberto Gil Solla, Manuel Ramos Cabrer

Abstract

Both the TV recommender systems and search engines developed in the Internet are intended to lighten the user burden, by offering them automatically the required information, personalized according to their preferences or needs. In last years, with the goal of improving these search engines, an important research line has been developed in the context of the WWW, known as the Semantic Web. The Semantic Web describes the resources by metadata and reasons on them by discovering new knowledge. Taking the advantage of the Semantic Web in the field of the personalized TV, we propose an intelligent assistant named AVATAR, which uses the semantic inference as a novel recommendation strategy. This approach allows to overcome an important limitation identified in the personalization strategies adopted in other systems: an excessive similarity between the programs known by the user and those suggested by the recommender. In this regard, our approach diversifies and personalizes the elaborated recommendations, by inferring semantic associations of different nature between the user preferences and the suggested TV contents. This inference process requires a formal representation both the knowledge of our application domain, and the user preferences. In this regard, we resort to an OWL ontology to identify resources and relations typical in the TV field, and to reason about them.

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Paper Citation


in Harvard Style

Blanco Fernández Y., J. Pazos Arias J., Gil Solla A. and Ramos Cabrer M. (2005). AVATAR: A Flexible Approach to Improve the Personalized TV by Semantic Inference . 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 69-78. DOI: 10.5220/0001421100690078


in Bibtex Style

@conference{wprsiui05,
author={Yolanda Blanco Fernández and Jose J. Pazos Arias and Alberto Gil Solla and Manuel Ramos Cabrer},
title={AVATAR: A Flexible Approach to Improve the Personalized TV by Semantic Inference},
booktitle={Proceedings of the 1st International Workshop on Web Personalisation, Recommender Systems and Intelligent User Interfaces - Volume 1: WPRSIUI, (ICETE 2005)},
year={2005},
pages={69-78},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001421100690078},
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 - AVATAR: A Flexible Approach to Improve the Personalized TV by Semantic Inference
SN - 972-8865-38-4
AU - Blanco Fernández Y.
AU - J. Pazos Arias J.
AU - Gil Solla A.
AU - Ramos Cabrer M.
PY - 2005
SP - 69
EP - 78
DO - 10.5220/0001421100690078