Abstract: A method and system for providing personal travel advice to a user is provided. The method and system includes a profiling engine that prepares a personalized profile for a particular user by gathering user-specific data regarding an individual's likes, dislikes, lifestyle, interests, activities and budget for the vacation. Several profiles for members of a group travelling together can be combined to obtain recommendations for the group. An advice engine combines information from various expert knowledge bases to provide recommended travel destinations. The profiles may also be used to check a destination for its appropriateness, and to request a similar destination to one enjoyed previously by the individual or the group.

Abstract: The analysis of complex data interdependencies is achieved through the application of inference methods and heuristics to dynamic models of complex information exchange systems. Through the emulation of data flows, realistic models of information exchange systems are constructed by combining both process and data flows. Data usage and concurrent data paths are monitored and analyzed through simulation of the model to improve data flows by determining alternate data paths to reduce processing time and by detecting unnecessary data paths thereby optimizing the performance of information exchange systems.