A study for task based recommendation system for travel navigation

With the development of wireless environment, tourism marketing transfer from the traditional way to the new generation. The mobile commerce technology provides customer more directly and more timely information. Our study purpose a schema based on human portfolio combined with the global satellite positioning system (Global Positioning System; GPS) positioning function to make a proper localization and adaptive for the intelligent mobile devices in the recommendation system. First we catch the tourism position than cross match with the indicator in the Human Portfolio. This could filter the information and personalize the travel information. This provides personalized information via interactions with Smart Travel Service and Human Portfolio, a previously filtered product issues, and an interactions between tourism and provider to promote collaborative problem resolution. Furthermore, we proposed a Task Oriented Petri Net (TOPN) model to implement the award mechanism in order to provide the interaction and feedback for traveler during the journey. It's identifying the construction of different travel mission from users area and find a suitable mission for user. Meanwhile, an adaptive recommendation algorithm, complied with context-awareness and ambient-awareness, also provide an adaptive and omnibearing travel route planning for different user even from the same place.