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Development of an intelligent predictive system for the tourist sector using advanced methods of multidimensional data fusion and machine learning
The planned intelligent system for prediction of prices for the tourist market will constitute deployment of advanced methods integrating multidimensional data and machine learning researched at Departments of Computer Architecture and Intelligent Interactive Systems.
This will bring measurable market benefits. Q&Q sp. z o.o. - the Leader
of the project - will deliver to the performer - the ETI Faculty - historical large scale data for which internal and external metrics (including hidden ones) that affect the price of a tourist package will be identified using machine learning.
Within the project algorithms for prediction of prices based on these metrics will be developed. Validation of the algorithms in the target environment will enable perfecting these taking into account other market segments.
Details
- Project's acronym:
- ePREDYKTOUR
- Financial Program Name:
- Program Operacyjny Inteligentny Rozwój
- Organization:
- Narodowe Centrum Badań i Rozwoju (NCBR) (The National Centre for Research and Development)
- Agreement:
- POIR.01.01.01-00-1252/19-00 z dnia 2020-09-02
- Realisation period:
- 2020-10-01 - 2023-03-31
- Research team leader:
- dr hab. inż. Paweł Czarnul
- Realised in:
- Faculty of Electronics, Telecommunications and Informatics
- External institutions
participating in project: -
- firma Q&Q sp. z o.o. (Poland)
- Project's value:
- 3 652 577.13 PLN
- Request type:
- European Founds
- Domestic:
- Domestic project
- Verified by:
- Gdańsk University of Technology
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