A practical guide to designing expert systems
A practical guide to designing expert systems
Introduction to Multiagent Systems
Introduction to Multiagent Systems
Intelligent Support Systems for Marketing Decisions
Intelligent Support Systems for Marketing Decisions
E-Commerce Recommendation Applications
Data Mining and Knowledge Discovery
Integrating E-Commerce and Data Mining: Architecture and Challenges
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Communications of the ACM - The Blogosphere
An Assessment of Case-Based Reasoning for Spam Filtering
Artificial Intelligence Review
The Knowledge Engineering Review
Travel Destination Recommendation Systems: Behavioural Foundations and Applications (Cabi Publishing)
Intelligent index selection for case-based reasoning
Knowledge-Based Systems
Application of a hybrid intelligent decision support model in logistics outsourcing
Computers and Operations Research
A computation environment for automated negotiation: a case study in electronic tourism
Proceedings of the 2007 ACM symposium on Applied computing
When Similar Problems Don't Have Similar Solutions
ICCBR '07 Proceedings of the 7th international conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Case-based reasoning in the health sciences: What's next?
Artificial Intelligence in Medicine
Applying case-based reasoning for product configuration in mass customization environments
Expert Systems with Applications: An International Journal
Turist@: Agent-based personalised recommendation of tourist activities
Expert Systems with Applications: An International Journal
Computers and Electronics in Agriculture
SigTur/E-Destination: Ontology-based personalized recommendation of Tourism and Leisure Activities
Engineering Applications of Artificial Intelligence
| Hi-index | 12.05 |
Recent changes in tourists' behavior and the growing importance of Information and Communication Technologies mean that much more attention needs to be given to electronic (e)-tourism. With the Internet becoming the preferred media choice for many travelers to obtain travel information, online travel agencies and their offers are gaining more importance all over the world, also in Turkey. Turkish travel web sites usually provide static information which can be accessed by some kind of search forms, but users need more such as recommendation tools, trip planners which include a Decision Support System inside. For this reason, this paper offers a new approach to the marketing strategies for Turkish travel agencies, but the recommendation tool is also a generic model for all tourism agencies in the world. An intelligent system which works as a recommendation tool for trip planning is created by using Case based reasoning algorithm. The inspiration module of the proposed model recommends users the most available trip alternatives by comparing the older cases with the new client.