Development of an intelligent cruise consulting tool

The project concentrates on developing new applications of machine learning for the digital cruise advisor Cruisewatch. A company which offers cruise trips from various companies on a webpage. Cruisewatch maintains a huge database of (meta-)information about upcoming and historical trips. Accordingly, it allows to apply machine learning in various directions. Current developed algorithms include trip price prediction, customer behavior analysis and customer review analysis which are helpful for travel recommendation.