[PDF.70he] Matrix and Tensor Factorization Techniques for Recommender Systems (SpringerBriefs in Computer Science)
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Matrix and Tensor Factorization Techniques for Recommender Systems (SpringerBriefs in Computer Science)
Panagiotis Symeonidis, Andreas Zioupos
[PDF.pz96] Matrix and Tensor Factorization Techniques for Recommender Systems (SpringerBriefs in Computer Science)
Matrix and Tensor Factorization Panagiotis Symeonidis, Andreas Zioupos epub Matrix and Tensor Factorization Panagiotis Symeonidis, Andreas Zioupos pdf download Matrix and Tensor Factorization Panagiotis Symeonidis, Andreas Zioupos pdf file Matrix and Tensor Factorization Panagiotis Symeonidis, Andreas Zioupos audiobook Matrix and Tensor Factorization Panagiotis Symeonidis, Andreas Zioupos book review Matrix and Tensor Factorization Panagiotis Symeonidis, Andreas Zioupos summary
| #989587 in Books | 2017-02-06 | 2017-02-06 | Original language:English | PDF # 1 | 9.25 x.26 x6.10l,.0 | File type: PDF | 102 pages||From the Back Cover||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 Decompos
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 Factorization (NMF), etc. and describes in detail the pros and cons of each method for matrices and tensors. This book provides a detailed theoretical mathematical background of ma...
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