Ontology-based Matchmaking to Provide Personalized Recommendations for Tourists

Authors: 
Christoph Grün
Julia Neidhardt
Hannes Werthner
Type: 
Speech with proceedings
Proceedings: 
ENTER Conference, Information and Communication Technologies in Tourism 2017
Publisher: 
Springer
Pages: 
3 - 14
Year: 
2017
ISBN: 
ISBN: 978-3-319-51167-2
Abstract: 
This paper addresses the challenges to support tourists in their decision-making during the pre-trip phase and to facilitate the process of identifying those tourism objects that best fit the tourists´ preferences. The latter directly depends on the quality of the matchmaking process, i.e. finding those tourism objects that are most attractive to a particular tourist. To achieve this goal, an innovative approach is introduced that matches tourist profiles with the characteristics of tourism objects in order to obtain a ranked list of appropriate objects for a particular tourist. The matchmaking process leverages tourist factors as a shortcut to propose a first user profile and related to this, a first set of tourism objects. User feedback is then used to dynamically adapt the tourist profile and thus refine the set of recommended objects. Our approach is tested through a prototypical recommender system that suggests tourists in Vienna attractions that are tailored to their personal needs. Furthermore, a user study is conducted by asking people to interact with the system and fill in a questionnaire afterwards.
TU Focus: 
Information and Communication Technology
Reference: 

C. Grün, J. Neidhardt, H. Werthner:
"Ontology-based Matchmaking to Provide Personalized Recommendations for Tourists";
Vortrag: ENTER Conference 2017, Rome, Italy; 24.01.2017 - 26.01.2017; in: "ENTER Conference, Information and Communication Technologies in Tourism 2017", Springer, (2017), ISBN: 978-3-319-51167-2; S. 3 - 14.

Zusätzliche Informationen

Last changed: 
22.12.2017 06:33:19
Accepted: 
Accepted
TU Id: 
255441
Invited: 
Department Focus: 
Business Informatics
Author List: 
C. Grün, J. Neidhardt, H. Werthner
Abstract German: 
This paper addresses the challenges to support tourists in their decision-making during the pre-trip phase and to facilitate the process of identifying those tourism objects that best fit the tourists´ preferences. The latter directly depends on the quality of the matchmaking process, i.e. finding those tourism objects that are most attractive to a particular tourist. To achieve this goal, an innovative approach is introduced that matches tourist profiles with the characteristics of tourism objects in order to obtain a ranked list of appropriate objects for a particular tourist. The matchmaking process leverages tourist factors as a shortcut to propose a first user profile and related to this, a first set of tourism objects. User feedback is then used to dynamically adapt the tourist profile and thus refine the set of recommended objects. Our approach is tested through a prototypical recommender system that suggests tourists in Vienna attractions that are tailored to their personal needs. Furthermore, a user study is conducted by asking people to interact with the system and fill in a questionnaire afterwards.