reality: a scalable intelligent travel planner
Proceedings of the 2003 ACM symposium on Applied computing
COSIMAB2B " Sales Automation for E-Procurement
CEC '04 Proceedings of the IEEE International Conference on E-Commerce Technology
Foundations of preferences in database systems
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Intelligent systems in travel and tourism
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Evaluation and optimization of the catalog search process of e-procurement platforms
Electronic Commerce Research and Applications
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Travel and tourism represents the leading domain for applications in b2c e-commerce. Thus, it deserves highest attention. Due to insufficient search engines, however, arranging a trip on current online travel portals is often not as easy as it seems. We present a novel approach for an advanced processing of database queries dealing with individual as well as global preferences of customers. Our approach also comprises the deployment of existing preference search technology to the tourism domain of electronic commerce. Consequently, the tedious empty-result-effect is avoided. Thereby, a novel, personalized search process delivering custom-tailored products is enabled for tourism and in general for e-commerce, respectively. A first prototype implementing our advanced search has shown promising results.