Artículos relacionados a Web personalized Recommender System for e-business
- EditorialLAP LAMBERT Academic Publishing
- Año de publicación2018
- ISBN 10 3659877751
- ISBN 13 9783659877759
- EncuadernaciónTapa blanda
- Número de páginas140
Comprar nuevo
Ver este artículo
EUR 55,90
Gastos de envío:
EUR 23,00
De Alemania a Estados Unidos de America
Los mejores resultados en AbeBooks
Imagen del vendedor
Web personalized Recommender System for e-business
Publicado por
LAP LAMBERT Academic Publishing Mrz 2018
(2018)
ISBN 10: 3659877751
ISBN 13: 9783659877759
Nuevo
Taschenbuch
Cantidad disponible: 2
Librería:
Valoración
Descripción Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783659877759
Comprar nuevo
EUR 55,90
Convertir moneda
Gastos de envío:
EUR 23,00
De Alemania a Estados Unidos de America
Destinos, gastos y plazos de envío
Imagen del vendedor
Web personalized Recommender System for e-business
Publicado por
LAP LAMBERT Academic Publishing
(2018)
ISBN 10: 3659877751
ISBN 13: 9783659877759
Nuevo
Taschenbuch
Cantidad disponible: 1
Librería:
Valoración
Descripción Taschenbuch. Condición: 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). Nº de ref. del artículo: 9783659877759
Comprar nuevo
EUR 55,90
Convertir moneda
Gastos de envío:
EUR 32,99
De Alemania a Estados Unidos de America
Destinos, gastos y plazos de envío
Imagen del vendedor
Web personalized Recommender System for e-business
Publicado por
LAP LAMBERT Academic Publishing
(2018)
ISBN 10: 3659877751
ISBN 13: 9783659877759
Nuevo
Tapa blanda
Cantidad disponible: > 20
Librería:
Valoración
Descripción Condición: 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 . Nº de ref. del artículo: 385770109
Comprar nuevo
EUR 46,18
Convertir moneda
Gastos de envío:
EUR 48,99
De Alemania a Estados Unidos de America
Destinos, gastos y plazos de envío