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Recommender Systems: Advanced Developments

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Recommender Systems: Advanced Developments - Lu, Jie, and Zhang, Qian, and Zhang, Guang-quan
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Recommender systems provide users (businesses or individuals) with personalized online recommendations of products or information, to address the problem of information overload and improve personalized services. Recent successful applications of recommender systems are providing solutions to transform online services for e-government, e-business, e-commerce, e-shopping, e-library, e-learning, e-tourism, and more.This unique compendium not only describes theoretical research but also reports on new application developments, ...

Recommender Systems: Advanced Developments 2020, World Scientific Publishing Co Pte Ltd, Singapore

ISBN-13: 9789811224621