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Matrix and Tensor Factorization Techniques for Recommender Systems

This book presents the algorithms used to provide recommendations by exploiting matrix factorization and tensor decomposition techniques. It highlights well-known decomposition methods for recommender systems, such as Singular Value Decomposition (SVD), UV-decomposition, Non-negative Matrix Factoriz...

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Main Authors: Symeonidis, Panagiotis. (Author, http://id.loc.gov/vocabulary/relators/aut), Zioupos, Andreas. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edition:1st ed. 2016.
Series:SpringerBriefs in Computer Science,
Subjects:
Information storage and retrieval.
Computer science—Mathematics.
Computer mathematics.
Artificial intelligence.
Information Storage and Retrieval.
Mathematical Applications in Computer Science.
Mathematics of Computing.
Artificial Intelligence.
Online Access:https://doi.org/10.1007/978-3-319-41357-0

Internet

https://doi.org/10.1007/978-3-319-41357-0

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