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Sunday, December 2, 2018

Download Recommender Systems Handbook PDF Free

Recommender Systems Handbook PDF
By:Francesco Ricci,Lior Rokach,Bracha Shapira,Paul B. Kantor
Published on 2010-10-21 by Springer Science & Business Media


The explosive growth of e-commerce and online environments has made the issue of information search and selection increasingly serious; users are overloaded by options to consider and they may not have the time or knowledge to personally evaluate these options. Recommender systems have proven to be a valuable way for online users to cope with the information overload and have become one of the most powerful and popular tools in electronic commerce. Correspondingly, various techniques for recommendation generation have been proposed. During the last decade, many of them have also been successfully deployed in commercial environments. Recommender Systems Handbook, an edited volume, is a multi-disciplinary effort that involves world-wide experts from diverse fields, such as artificial intelligence, human computer interaction, information technology, data mining, statistics, adaptive user interfaces, decision support systems, marketing, and consumer behavior. Theoreticians and practitioners from these fields continually seek techniques for more efficient, cost-effective and accurate recommender systems. This handbook aims to impose a degree of order on this diversity, by presenting a coherent and unified repository of recommender systems’ major concepts, theories, methodologies, trends, challenges and applications. Extensive artificial applications, a variety of real-world applications, and detailed case studies are included. Recommender Systems Handbook illustrates how this technology can support the user in decision-making, planning and purchasing processes. It works for well known corporations such as Amazon, Google, Microsoft and AT&T. This handbook is suitable for researchers and advanced-level students in computer science as a reference.

This Book was ranked at 41 by Google Books for keyword Reference Consumer Guides novel.

Book ID of Recommender Systems Handbook's Books is 2hFG21Cp2qcC, Book which was written byFrancesco Ricci,Lior Rokach,Bracha Shapira,Paul B. Kantorhave ETAG "ZIrlFL+iMR0"

Book which was published by Springer Science & Business Media since 2010-10-21 have ISBNs, ISBN 13 Code is 9780387858203 and ISBN 10 Code is 0387858202

Reading Mode in Text Status is false and Reading Mode in Image Status is true

Book which have "842 Pages" is Printed at BOOK under CategoryComputers

Book was written in en

eBook Version Availability Status at PDF is true and in ePub is false

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Download Recommender Systems Handbook PDF Free

Download Recommender Systems Handbook Books Free

Download Recommender Systems Handbook Free

Download Recommender Systems Handbook PDF

Download Recommender Systems Handbook Books

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