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Viac informácií o knihe Web personalized Recommender System for e-business

• Parametre knihy
• Anotácia kniha
• Obľúbené z iného súdka

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Anotácia 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).

Parametre knihy

• Celý názov: Web personalized Recommender System for e-business
• Autor: Subhash K. Shinde, Uday V. Kulkarni
• Jazyk: Angličtina
• Väzba: Brožovaná
• Počet strán: 140
• EAN: 9783659877759
• ID: 19281213
• Nakladateľ: LAP Lambert Academic Publishing
• Hmotnosť: 227 g
• Rozmery: 220 × 150 × 8 mm
• Rok vydania: 2018

Obľúbené z iného súdka

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