Könyv Web personalized Recommender System for e-business Subhash K. Shinde

Web personalized Recommender System for e-business

Nyelv: Angol
Kötés: Puha kötésű
Elérhetőség: Beszállítói készleten
Küldés 5-8 napon belül
18 674 Ft
This book is to propose an adaptive recommendation model with learning algorithms, which increases w...

Információk a könyvről

Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2018
oldal
140
EAN
9783659877759
Enbook ID
19281213
Súly
227
Méretek
150 x 220 x 8

Teljes leírás

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).

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