(POIRS) Point of Interest Recommendation System using Data Mining

Nowadays, a huge amount of data is available about the location of visitors through Web sites and visitors. Travelers prefer to get important information easily and should be presented in a clear and concise manner. This paper suggests how to create a user-friendly tourist promotion system. The recommendation program is designed as an online application that can generate a personal list of popular tourist attractions. Modern technology of the old commendation system, such as collective filtering is considered to be a successful adoption in the tourism industry.