Verwandte Artikel zu Web personalized Recommender System for e-business
Neu kaufen
Diesen Artikel anzeigen
EUR 55,90
EUR 23,00 für den Versand von Deutschland nach USA
Versandziele, Kosten & DauerSuchergebnisse für Web personalized Recommender System for e-business
Foto des Verkäufers
Web personalized Recommender System for e-business
Verlag:
LAP LAMBERT Academic Publishing Mrz 2018, 2018
ISBN 10: 3659877751
ISBN 13: 9783659877759
Neu
Taschenbuch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is to propose an adaptive recommendation model with learning algorithms, which increases web user satisfaction and save on thecosts of content management with minimal human intervention. This researchwork explores a unified model for hybrid filtering with learning algorithms which extracts customer's current browsing patterns and forms group of customersusing different clustering algorithms to obtain implicit users rating forrecommended product. In this research following three novel recommender systems are proposed. These systems are used to investigate issues and challenges related to recommendersystems. Hybrid web personalized recommender system based on web usagemining (HWPRS). Hybrid web personalized recommender system using centeringbunchingbased clustering (CBBCHPRS). Hybrid Fuzzy personalized recommender system using Modified Fuzzyc-means clustering (MFCMHFRS). 140 pp. Englisch. Bestandsnummer des Verkäufers 9783659877759
Anzahl: 2 verfügbar
Foto des Verkäufers
Web personalized Recommender System for e-business
Verlag:
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 3659877751
ISBN 13: 9783659877759
Neu
Softcover
Anbieter: moluna, Greven, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shinde Subhash K.Dr. Subhash K. Shinde is a Professor at Lokmanya Tilak College of Engineering, Navi Mumbai. He completed his Ph.D. ( Computer Engineering) in October 2012 from SRTM,Nanded, India. He is Chairman, B.O.S. in Computer . Bestandsnummer des Verkäufers 385770109
Anzahl: Mehr als 20 verfügbar
Foto des Verkäufers
Web personalized Recommender System for e-business
Verlag:
LAP LAMBERT Academic Publishing Mär 2018, 2018
ISBN 10: 3659877751
ISBN 13: 9783659877759
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Neuware -This book is to propose an adaptive recommendation model with learning algorithms, which increases web user satisfaction and save on thecosts of content management with minimal human intervention. This researchwork explores a unified model for hybrid filtering with learning algorithms which extracts customer¿s current browsing patterns and forms group of customersusing different clustering algorithms to obtain implicit users rating forrecommended product. In this research following three novel recommender systems are proposed. These systems are used to investigate issues and challenges related to recommendersystems. ¿ Hybrid web personalized recommender system based on web usagemining (HWPRS). ¿ Hybrid web personalized recommender system using centeringbunchingbased clustering (CBBCHPRS). ¿ Hybrid Fuzzy personalized recommender system using Modified Fuzzyc-means clustering (MFCMHFRS).Books on Demand GmbH, Überseering 33, 22297 Hamburg 140 pp. Englisch. Bestandsnummer des Verkäufers 9783659877759
Anzahl: 2 verfügbar
Foto des Verkäufers
Web personalized Recommender System for e-business
Verlag:
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 3659877751
ISBN 13: 9783659877759
Neu
Taschenbuch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book is to propose an adaptive recommendation model with learning algorithms, which increases web user satisfaction and save on thecosts of content management with minimal human intervention. This researchwork explores a unified model for hybrid filtering with learning algorithms which extracts customer's current browsing patterns and forms group of customersusing different clustering algorithms to obtain implicit users rating forrecommended product. In this research following three novel recommender systems are proposed. These systems are used to investigate issues and challenges related to recommendersystems. Hybrid web personalized recommender system based on web usagemining (HWPRS). Hybrid web personalized recommender system using centeringbunchingbased clustering (CBBCHPRS). Hybrid Fuzzy personalized recommender system using Modified Fuzzyc-means clustering (MFCMHFRS). Bestandsnummer des Verkäufers 9783659877759
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Web personalized Recommender System for e-business
Verlag:
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 3659877751
ISBN 13: 9783659877759
Neu
Paperback
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: Brand New. 140 pages. 8.66x5.91x0.32 inches. In Stock. Bestandsnummer des Verkäufers 3659877751
Anzahl: 1 verfügbar