When tourists visit a city or region, they usually cannot visit every point of interest available as they are constrained in time and budget. Tourist recommender applications help tourists by facilitating personal selection. Providing adequate tour scheduling support for these kinds
of applications is a daunting task for the application developer. The objective of this article is to demonstrate how existing models from the field of Operations Research (OR) fit this scheduling problem and enable a wide range of tourist trip planning functionalities. Using the Orienteering
Problem (OP) and its extensions to model the tourist trip planning problem allows us to deal efficiently with a number of practical planning problems.
Information Technology & Tourism is the first scientific journal dealing with the exciting relationship between information technology and tourism. Information and communication systems embedded in a global net have profound influence on the tourism and travel industry. Reservation systems, distributed multimedia systems, highly mobile working places, electronic markets, and the dominant position of tourism applications in the Internet are noticeable results of this development. And the tourism industry poses several challenges to the IT field and its methodologies.