Integrating information extraction agents into a tourism recommender system

Authors:
Sergio Esparcia;Víctor Sánchez-Anguix;Estefanía Argente;Ana García-Fornes;Vicente Julián
Affiliations:
Grupo de Tecnología Informática - Inteligencia Artifical, Departamento de Sistemas Informáticos y Computación, Universidad Politécnica de Valencia, Valencia, Spain;Grupo de Tecnología Informática - Inteligencia Artifical, Departamento de Sistemas Informáticos y Computación, Universidad Politécnica de Valencia, Valencia, Spain;Grupo de Tecnología Informática - Inteligencia Artifical, Departamento de Sistemas Informáticos y Computación, Universidad Politécnica de Valencia, Valencia, Spain;Grupo de Tecnología Informática - Inteligencia Artifical, Departamento de Sistemas Informáticos y Computación, Universidad Politécnica de Valencia, Valencia, Spain;Grupo de Tecnología Informática - Inteligencia Artifical, Departamento de Sistemas Informáticos y Computación, Universidad Politécnica de Valencia, Valencia, Spain
Venue:
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part II
Year:
2010

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Abstract

Recommender systems face some problems On the one hand information needs to be maintained updated, which can result in a costly task if it is not performed automatically On the other hand, it may be interesting to include third party services in the recommendation since they improve its quality In this paper, we present an add-on for the Social-Net Tourism Recommender System that uses information extraction and natural language processing techniques in order to automatically extract and classify information from the Web Its goal is to maintain the system updated and obtain information about third party services that are not offered by service providers inside the system.