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MULTI-CRITERIA DECISION ANALYSIS FOR LOCATION BASED SERVICES

Location based services assist people in their decision-making during the performance of tasks in space and time. Current services support simple spatial queries, such as finding the shortest path between two locations or the nearest restaurant from the current location of the user. Three major limitations of present location based services are their insufficiencies in considering individual user preferences, time constraints, and possible subtasks. This paper focuses on the problem of personalization by demonstrating an approach that represents user preferences in a qualitative way and uses them as input for multi-criteria decision analysis. This underlines our key point that location based services should act as personal spatial (and temporal) decision support services for their users. A traveler scenario is used as a case study.