This monograph proposes a model of Touristrecommender comprising of conventional Neural Networkand Rough set construct; in turn this makes thesystem intelligent and adaptive. The case studyconsidered in this report is the tourism practicesfollowed in the North West state of India, Rajasthan. Present case study also has the flavor ofmulti-criteria driven recommender system and modeledthrough a heuristics method combining both Rough setand Neural Network. The potential of rough set tohandle uncertain request of the tourists choices hasbeen demonstrated compared to the conventional usageof Rough Set as Clustering.The work also encourages the complete shelldevelopment of such recommender system which could bethus used in other diversified and complexrecommendation of medical service after modifying itscontextual knowledge. It has been observed from theproposed model that tourist's choices could becombined optimally with the help of plug-in softwareincluded in web-portal to serve them better.The elaborated background of recommender system, itscomponents and state-of-the art, mathematicalillustrations has been presented in the Appendix ofthe report.
