A Framework for Collaborative, Content-Based and Demographic Filtering
Artificial Intelligence Review - Special issue on data mining on the Internet
Information Filtering: Overview of Issues, Research and Systems
User Modeling and User-Adapted Interaction
User Modeling for Personalized City Tours
Artificial Intelligence Review
ITR: A Case-Based Travel Advisory System
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
More than the sum of its members: challenges for group recommender systems
Proceedings of the working conference on Advanced visual interfaces
Two methods for enhancing mutual awareness in a group recommender system
Proceedings of the working conference on Advanced visual interfaces
IEEE Transactions on Knowledge and Data Engineering
Applying Trip@dvice Recommendation Technology to www.visiteurope.com
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Intelligent systems in travel and tourism
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Preference elicitation techniques for group recommender systems
Information Sciences: an International Journal
Turist@: Agent-based personalised recommendation of tourist activities
Expert Systems with Applications: An International Journal
GeOasis: A knowledge-based geo-referenced tourist assistant
Expert Systems with Applications: An International Journal
SigTur/E-Destination: Ontology-based personalized recommendation of Tourism and Leisure Activities
Engineering Applications of Artificial Intelligence
Knowledge-Based Systems
Incorporating group recommendations to recommender systems: Alternatives and performance
Information Processing and Management: an International Journal
A negotiation framework for heterogeneous group recommendation
Expert Systems with Applications: An International Journal
| Hi-index | 12.06 |
This paper presents a recommender system for tourism based on the tastes of the users, their demographic classification and the places they have visited in former trips. The system is able to offer recommendations for a single user or a group of users. The group recommendation is elicited out of the individual personal recommendations through the application of mechanisms such as aggregation and intersection. The elicitation mechanism is implemented as an extension of e-Tourism, a user-adapted tourism and leisure application whose main component is the Generalist Recommender System Kernel (GRSK), a domain-independent taxonomy-driven recommender system.