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Development Intelligent Recommender System by Banerjee Soumya (12 results)
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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
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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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
Language: English
Published by VDM Verlag 2009-06-16, 2009
ISBN 10: 3639114922 ISBN 13: 9783639114928
Paperback. Condition: New.
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Development of an Intelligent Recommender System for E-guided Tourism
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Development of an Intelligent Recommender System for E-guided Tourism
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Condition: As New. Unread book in perfect condition.
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Development of an Intelligent Recommender System for E-Guided Tourism (Paperback or Softback)
Language: English
Published by VDM Verlag 6/16/2009, 2009
ISBN 10: 3639114922 ISBN 13: 9783639114928
Paperback or Softback. Condition: New. Development of an Intelligent Recommender System for E-Guided Tourism. Book.
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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
Language: English
Published by VDM Verlag Dr. Müller, 2009
ISBN 10: 3639114922 ISBN 13: 9783639114928
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.
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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
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Development of an Intelligent Recommender System forE-Guided Tourism
Language: English
Published by VDM Verlag Dr. Müller, 2009
ISBN 10: 3639114922 ISBN 13: 9783639114928
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.
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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
Language: English
Published by VDM Verlag Dr. Müller, 2009
ISBN 10: 3639114922 ISBN 13: 9783639114928
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.
