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Matrix and Tensor Factorization Techniques for Recommender Systems - SpringerBriefs in Computer Science Panagiotis Symeonidis 1st ed. 2016 edition
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Matrix and Tensor Factorization Techniques for Recommender Systems - SpringerBriefs in Computer Science
Panagiotis Symeonidis
This book provides a detailed theoretical mathematical background of matrix/tensor factorization techniques and a step-by-step analysis of each method on the basis of an integrated toy example that runs throughout all its chapters and helps the reader to understand the key differences among methods.
108 pages, 29 black & white illustrations, 22 colour illustrations, biography
| メディア | 書籍 Paperback Book (ソフトカバーで背表紙を接着した本) |
| リリース済み | 2017年2月6日 |
| ISBN13 | 9783319413563 |
| 出版社 | Springer International Publishing AG |
| ページ数 | 102 |
| 寸法 | 235 × 157 × 12 mm · 163 g |