COSIMA T: Personalized Offer Generation in Tourism
COSIMA T: Personalized Offer Generation in Tourism
| Start date: | 01.09.2005 |
| End date: | 31.08.2007 |
| Duration: | 2005-09-01 - 2007-08-01 |
| Funded by: | Bavarian government |
| Local project leader: | Prof. Dr. Werner Kießling (project leader and speaker) |
| Local scientists: |
Sven Döring |
| External scientists / cooperations: |
Prof. Dr. Günther Görz, Artificial Intelligence (FAU Erlangen-Nuremberg) Prof. Dr. Bernd Radig, Image Understanding and Knowledge-Based Systems (TU Munich) Prof. Dr. Klaus Donner, Numerical Mathematics and Analysis (University of Passau) Prof. Dr. Burkhard Freitag, Information Management (University of Passau) Prof. Dr. Hans Ulrich Buhl, Business Administration, Commercial Information Technology and Financial Engineering (University of Augsburg) Prof. Dr. Herbert Stoyan, Artificial Intelligence (FAU Erlangen-Nuremberg) |
| Publications: | Publication list |
Abstract
Description
In the second term of COSIMA 2 the subject of personalized applications in the area of e-commerce is focused on online portals for tourism. Today there are still a lot of people preferring to consult a human employee in a travel agency instead of using the internet for booking or organizing a travel. Technical problems, incomprehensible interfaces, and insufficient search engines are part of that problem. With the interplay and adjustment of several advanced, preference driven middleware components we achieve to automate skills that so far could be executed only by a human employee in a travel agency. Our search engines Preference XPath and Preference SQL deliver best alternatives, if there is no perfect match. It is possible to distinguish between hard and soft constraints like a human vendor would do. The Preference Presenter implements a smart and sales psychology based presentation of search results, supporting various human sales strategies; the Preference Repository provides the management of situated long-term preferences. A novel query rewriting approach enables the smart combination of single preferences, e.g. the category of a hotel, with global preferences like the overall prize for the whole journey enabling a deep personalized packaging of travels.


