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.
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References 29 · Cited by 123
- Authors
- Ricci, F., & Werthner, H.
- ORCID
- Werthner, H.
- Venue
- Information Technology & Tourism
- Publisher
- Cognizant, LLC
- Published
- 2001-03-01
- Volume
- 4
- Issue
- 3
- Pages
- 215-226
- ISSN
- 1098-3058 (ISSN-L)
- OpenAlex
- W1970241863
- Cited by
- 123
- References
- 29
- Citations by year
- 2025: 2 · 2023: 2 · 2021: 5 · 2020: 4 · 2019: 7 · 2018: 3 · 2017: 3 · 2016: 3 · 2015: 4 · 2014: 8 · 2013: 12 · 2012: 11
- FWCI
- 6.19
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Information Technology & Tourism (publishedVersion)
- Open Research (University of Surrey) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Recommender Systems and Techniques
- Physical Sciences › Computer Science › Artificial Intelligence › AI-based Problem Solving and Planning
- Social Sciences › Business, Management and Accounting › Management Information Systems › Decision Support System Applications
- Keywords
- case-based reasoning, tourism planning, recommender systems, tourist destination selection, personalized travel, similarity search, data mapping, online analytical processing, leisure travelers
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