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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...
| Clasificación: | Libro Electrónico |
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| Autores principales: | , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
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| Edición: | 1st ed. 2016. |
| Colección: | SpringerBriefs in Computer Science,
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| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Part I Matrix Factorization Techniques
- 1. Introduction
- 2. Related Work on Matrix Factorization
- 3. Performing SVD on matrices and its Extensions
- 4. Experimental Evaluation on Matrix Decomposition Methods
- Part II Tensor Factorization Techniques
- 5. Related Work on Tensor Factorization
- 6. HOSVD on Tensors and its Extensions
- 7. Experimental Evaluation on Tensor Decomposition Methods
- 8 Conclusions and Future Work.