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Inici

Deiminari

Títol

An ontology-based recommender system for touristic activities related with Enology

Conferenciant

Joan Borrs

Professor/a organitzador/a

Ada Valls

Institució

Parc Cientfic Tecnolgic de Turisme i Oci, Vila-Seca.

Data

06-05-2013 16:00

Resum

Visitors that plan their trips with the information available online have recently increased, although the large and heterogeneous number of activities available in the Web can be overwhelming for the user. Some Web systems give rankings based on the popularity of the activities; however, these activities may not satisfy people who want to discover specific or new attractions that fit their personal preferences. In the Science & Technology Park for Tourism and Leisure (PCTTO) an intelligent recommender system has been developed, in collaboration with ITAKA research group (URV). The system is able to make semantic analysis and inference about the preferences of the user by using a domain ontology specially defined for representing the activities related to Eno-Tourism in the ?Costa Daurada and Terres de l?Ebre? area. Advanced Artificial Intelligence techniques are used in conjunction with multi-criteria decision aiding methods. In this talk, the techniques used in the recommender system will be explained. A demonstration of the recommender system in the Web and in a mobile phone will be shown. It will be also possible to use the system online in the computers available in the room. If you like the Wine World, find your best spot for next weekend!

Lloc

laboratori DEIM-III (L208)

Idioma

Angls