Web personalized Recommender System for e-business

Subhash K. Shinde

ISBN 10: 3659877751 / ISBN 13: 9783659877759

Edité par LAP LAMBERT Academic Publishing Mär 2018, 2018

A propos de cet article

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.

N° de réf. du vendeur 9783659877759

Détails bibliographiques

• Titre: Web personalized Recommender System for e-business
• Éditeur: LAP LAMBERT Academic Publishing Mär 2018
• Date de parution: 2018
• Langue: anglais
• ISBN à 10 chiffres: 3659877751
• ISBN à 13 chiffres: 9783659877759
• Reliure: Taschenbuch
• État de l'article: Neu