Co-Existing in Differences: Tailoring Travel Itineraries for Tourists With Similar Interests

Customized tourism is gaining more and attention in the era of prominent personalization tourists. Private customization has disadvantages such as high cost resource consumption. To save resources costs from three aspects travel companies, tourists, society, it proposed to bring similar tourists together customize itineraries for Online information related transportation help companies itinerary efficiently accurately, a detailed schedule. In this method, we first cluster visitors according their heterogeneous needs. The relevant online collected then combined with needs each visitor tour group build solve customized models itinerary. Finally, price determined. At end paper, discussed what level clustering makes most satisfied. It proves that approach can be groups. Visitors show certain satisfaction format. However, applicability method further verified on larger range data sets.