Analysis of e-commerce system with Recommendation and Mahout

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39,90 

Recommendation system for online shopping

ISBN: 6139946824
ISBN 13: 9786139946822
Autor: Sukre, Pratima M
Verlag: LAP LAMBERT Academic Publishing
Umfang: 64 S.
Erscheinungsdatum: 19.10.2019
Auflage: 1/2019
Format: 0.5 x 22 x 15
Gewicht: 113 g
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 8154217 Kategorie:

Beschreibung

In this book, we give an overview of the main Data Mining techniques used in the Recommender Systems. Online Recommendation and Prediction is widely used application ofW Webusage mining.We first describe common pre-processing methods such as data cleaning,session identification to employing web mining algorithm on web server logs. We review the most important clustering method including k means clustering algorithm is used. From last few years information flooding has created problem to web users. Web usage mining is mostly used by employing data mining technique, which extract knowledge from web users access logs.Most of the recommendation systems on a content based approach or collaborative approach to make recommendations.

Autorenporträt

Ms Pratima M Sukre obtain BE in 2014 & ME in Computer science Engineering 2019 from MGM'S Jawaharlal Neharu Engineering College, Aurangabad-Maharashtra-India. Her area of interest include Data Mining,Big Data, Cloud Computing.

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