Development of an Intelligent Recommender System for E-Guided Tourism

ISBN-13: 9783639114928 / Angielski / Miękka / 2009 / 60 str.

Soumya Banerjee

Opis

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 tourists 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.

O autorze

Soumya Banerjee, B.E(Computer Sc.), Ph.d(Computer Science,
Submitted to BIT, India), Head Computer Science, Birla Institute
of Technology, International Campus Mauritius, previously was at
Microsoft Research, Cognizant. Dr.G.S.Dangayach (Ph.d IIT Delhi,
India) Department of Mechanical Engg., Malviya National Institute
of Technology, Jaipur,India.