188/4 E-Commerce Group
Institute of Software Technology and Interactive Systems
Vienna University of Technology
Favoritenstrasse 9-11/188, A-1040 Vienna, Austria

Ontology-based Matchmaking to Provide Personalized Recommendations for Tourists

Type: 
Speech with proceedings
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.
Hidden Keywords: 
Department Focus: 
Business Informatics
TU Focus: 
Information and Communication Technology
Proceedings: 
ENTER Conference, Information and Communication Technologies in Tourism 2017
Publisher: 
Springer
Year: 
2017
ISBN: 
Pages: 
Accepted: 
Accepted
Invited: 
Reference: 
C. Grün, <u>J. Neidhardt</u>, H. Werthner: <br>"<i>Ontology-based Matchmaking to Provide Personalized Recommendations for Tourists</i>"; <br>accepted as talk for: ENTER Conference 2017, Rome, Italy; 01-24-2017 - 01-26-2017; in: "<i>ENTER Conference, Information and Communication Technologies in Tourism 2017</i>", Springer, (2017).<br><br> <a href="https://publik.tuwien.ac.at/showentry.php?ID=255441&lang=2" class="publist"><i>More information</i></a><br><br>
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.