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Více informací o knize Web personalized Recommender System for e-business

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• Anotace
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Anotace knihy

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).

Parametry knihy

• Plný název: Web personalized Recommender System for e-business
• Autor: Subhash K. Shinde, Uday V. Kulkarni
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 140
• EAN: 9783659877759
• ID: 19281213
• Nakladatelství: LAP Lambert Academic Publishing
• Hmotnost: 227 g
• Rozměry: 220 × 150 × 8 mm
• Rok vydání: 2018

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