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Matrix and Tensor Factorization Techniques for Recommender Systems - SpringerBriefs in Computer Science Panagiotis Symeonidis 1st ed. 2016 edition
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
| Médias | Livres Paperback Book (Livre avec couverture souple et dos collé) |
| Validé | 6 février 2017 |
| ISBN13 | 9783319413563 |
| Éditeurs | Springer International Publishing AG |
| Pages | 102 |
| Dimensions | 235 × 157 × 12 mm · 163 g |