Applying Trip@dvice Recommendation Technology to www.visiteurope.com

Authors:
Adriano Venturini;Francesco Ricci
Affiliations:
eCTRL Solutions, Italy, email: venturini@ectrlsolutions.com;ITC-irst, Italy, email: ricci@itc.it
Venue:
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Year:
2006

Citing 7
Cited 3

A Framework for Collaborative, Content-Based and Demographic Filtering

Artificial Intelligence Review - Special issue on data mining on the Internet
Hybrid Recommender Systems: Survey and Experiments

User Modeling and User-Adapted Interaction
E-Commerce Recommendation Applications

Data Mining and Knowledge Discovery
Comparison-Based Recommendation

ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions

IEEE Transactions on Knowledge and Data Engineering
ExpertClerk: navigating shoppers' buying process with the combination of asking and proposing

IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Case-based recommender systems: a unifying view

ITWP'03 Proceedings of the 2003 international conference on Intelligent Techniques for Web Personalization

Automated generation of itineraries in recommender systems for tourism

ICWE'10 Proceedings of the 10th international conference on Current trends in web engineering
On the design of individual and group recommender systems for tourism

Expert Systems with Applications: An International Journal
Recommending improved configurations for complex objects with an application in travel planning

Proceedings of the 7th ACM conference on Recommender systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

Implementing decision support technologies in a real commercial tourism destination portal is challenging. First of all, the peculiar problems related to the tourism domain, which have been studied in the recent years in eCommerce and tourism research, must be considered. But, to provide an effective and useful tool, one must tackle additional requirements arising from the technical and operational environment, which influence not only the software development and architectural issues, but also methodological aspects. This paper describes the main choices we taken and the approach we followed to integrate the Trip@dvice recommendation technology in www.visiteurope.com, the major European tourism portal launched in March 2006, with the goal of promoting Europe as a tourist destination.