%0 Conference Proceedings
%T Intelligent Hybrid Architecture for Tourism Services
%+ GECAD - Knowledge Engineering and Decision Support Group
%+ Computer Science Department Institute of Engineering - Polytechnic of Porto
%A Almeida, Ana
%A Coelho, Bruno, N.
%A Martins, Constantino
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B Third IFIP TC12 International Conference on Artificial Intelligence (AI) / Held as Part of World Computer Congress (WCC)
%C Brisbane, Australia
%Y Max Bramer
%I Springer
%3 Artificial Intelligence in Theory and Practice III
%V AICT-331
%P 205-214
%8 2010-09-20
%D 2010
%R 10.1007/978-3-642-15286-3_20
%K Recommender systems
%K tourism
%K user modeling
%Z Computer Science [cs]/Digital Libraries [cs.DL]Conference papers
%X This paper presents an artificial intelligence-based architecture to be used in various tourism services, namely the user modeling and recommender system components. Through the use of several machine learning techniques, such as linear models, neural networks, classification and even text mining, a hybrid and complete approach at understanding tourism application users is attained. To assess the advantages of the model, a specific prototype was created, including a complex user modeling process and an advanced and innovative recommender system. The system was tested in the scope of Oporto city, in Portugal.
%G English
%2 https://inria.hal.science/hal-01054591/document
%2 https://inria.hal.science/hal-01054591/file/IFIP-IA_ACM_AMN_v2bw.pdf
%L hal-01054591
%U https://inria.hal.science/hal-01054591
%~ IFIP
%~ IFIP-AICT
%~ IFIP-AICT-331
%~ IFIP-TC
%~ IFIP-TC12
%~ IFIP-AI
%~ IFIP-WCC
%~ IFIP-2010