Collaborative information extraction for adaptive recommendations in a multiagent tourism recommender system

Victor Sanchez-Anguix, Sergio Esparcia, Estefania Argente, Ana Garcia-Fornes, Vicente Julian

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

1 Citation (Scopus)

Abstract

In this paper we present an agent-based 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 parties services that are not offered by service providers inside the system.
Original languageEnglish
Title of host publicationAdvances in Practical Applications of Agents and Multiagent Systems
EditorsYves Demazeau, Frank Dignum, Juan M. Corchado, Javier Bajo Pérez
PublisherSpringer Verlag
Pages35-40
Number of pages6
Volume70
ISBN (Electronic)978-3-642-12384-9
ISBN (Print)978-3-642-12383-2
DOIs
Publication statusPublished - 2010

Publication series

NameAdvances in Intelligent and Soft Computing (AINSC)
PublisherSpringer
Volume70

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  • Cite this

    Sanchez-Anguix, V., Esparcia, S., Argente, E., Garcia-Fornes, A., & Julian, V. (2010). Collaborative information extraction for adaptive recommendations in a multiagent tourism recommender system. In Y. Demazeau, F. Dignum, J. M. Corchado, & J. Bajo Pérez (Eds.), Advances in Practical Applications of Agents and Multiagent Systems (Vol. 70, pp. 35-40). (Advances in Intelligent and Soft Computing (AINSC); Vol. 70). Springer Verlag. https://doi.org/10.1007/978-3-642-12384-9_5