Development of an Intelligent Recommender System for E-Guided Tourism: Modeling Service and Product Discrimination in E-Guided Tourism ?Developing a Recommender System Using Neuro-Rough Approach - Softcover
Synopsis
This monograph proposes a model of Tourist recommender comprising of conventional Neural Network and Rough set construct; in turn this makes the system intelligent and adaptive. The case study considered in this report is the tourism practices followed in the North West state of India, Rajasthan. Present case study also has the flavor of multi-criteria driven recommender system and modeled through a heuristics method combining both Rough set and Neural Network. The potential of rough set to handle uncertain request of the tourists choices has been demonstrated compared to the conventional usage of Rough Set as Clustering. The work also encourages the complete shell development of such recommender system which could be thus used in other diversified and complex recommendation of medical service after modifying its contextual knowledge. It has been observed from the proposed model that tourist's choices could be combined optimally with the help of plug-in software included in web-portal to serve them better. The elaborated background of recommender system, its components and state-of-the art, mathematical illustrations has been presented in the Appendix of the report.
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About the Author
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.
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Development of an Intelligent Recommender System for EGuided Tourism Modeling Service and Product Discrimination in EGuided Tourism Developing a Recommender System Using NeuroRough Approach
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Development of an Intelligent Recommender System forE-Guided Tourism
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ISBN 13: 9783639114928
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: BANERJEE SOUMYASoumya Banerjee, B.E(Computer Sc.), Ph.d(Computer Science,nSubmitted to BIT, India), Head Computer Science, Birla Institutenof Technology, International Campus Mauritius, previously was atnMicrosoft Research, Cognizant. Seller Inventory # 4958772
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Development of an Intelligent Recommender System for E-Guided Tourism | Modeling Service and Product Discrimination in E-Guided Tourism Developing a Recommender System Using Neuro-Rough Approach
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Taschenbuch. Condition: Neu. Development of an Intelligent Recommender System for E-Guided Tourism | Modeling Service and Product Discrimination in E-Guided Tourism Developing a Recommender System Using Neuro-Rough Approach | Soumya Banerjee | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2009 | VDM Verlag Dr. Müller | EAN 9783639114928 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu. Seller Inventory # 101552003
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Development of an Intelligent Recommender System for E-Guided Tourism : Modeling Service and Product Discrimination in E-Guided Tourism Developing a Recommender System Using Neuro-Rough Approach
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Seller Inventory # 9783639114928