Approaching Mobile Constraint-Based Recommendation to Car Parking System

Although the car parking system has been emerged since last decade, it seems that helping car owners to find their suitable parking lots has been required, continuously. This can been seen from an effort in developing infrastructure as well as adopting technology of many parking areas, continuously. In the era of Internet of Thing (IOT), mobile application allows individual to access to the system easily. Moreover, the system itself adopts techniques to facilitate users as much as possible. One of those popular technique is the recommendation technique - not limited to E-Commence system. This paper proposes the constraint based recommendation techniques that can support car owners to find their parking lots via mobile application, efficiently. An experiment was set up to test the performance of recommendation and found that it was acceptable.