Case Base Querying for Travel Planning Recommendation
Abstract:This article describes the general architecture and function of an intelligent recommendation system aimed at supporting a leisure traveler in the task of selecting a tourist destination, bundling a set of products, and composing a plan for the travel. The system enables the user to identify his/her own destination and to personalize the travel by aggregating elementary items (additional locations to visit, services, and activities). Case-based reasoning techniques enable the user to browse a repository of past travels and make possible the ranking of the elementary items included in a recommendation when these are selected from a catalogue. The system integrates data and information originating from external, already existent, tourist portals exploiting an XML-based mediator architecture, data mapping techniques, similarity-based retrieval, and online analytical processing.
Document Type: Research Article
Affiliations: eCommerce and Tourism Research Laboratory, ITC-irst, via Sommarive 18, 38050 Povo, Italy
Publication date: January 1, 2001
More about this publication?
- Information Technology & Tourism is the first scientific journal dealing with the exciting relationship between information technology and tourism. Information and communication systems embedded in a global net have profound influence on the tourism and travel industry. Reservation systems, distributed multimedia systems, highly mobile working places, electronic markets, and the dominant position of tourism applications in the Internet are noticeable results of this development. And the tourism industry poses several challenges to the IT field and its methodologies.