When you click on links to various merchants on this site and make a purchase, this can result in this site earning a commission. Affiliate programs and affiliations include, but are not limited to, the eBay Partner Network.
Matrix and Tensor Factorization Techniques for Recommender Systems, Paperback...
- Item No : 357129187850
- Condition : Like New
- Brand : No brand Info
- Seller : greatbookprices1
- Current Bid : US $85.60
-
* Item Description
- Matrix and Tensor Factorization Techniques for Recommender Systems, Paperback by Symeonidis, Panagiotis; Zioupos, Andreas, ISBN 3319413562, ISBN-13 9783319413563, Like New Used, Free shipping in the US
<p>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 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. It also contains two chapters, where different matrix and tensor methods are compared experimentally on real data sets, such as Epinions, GeoSocialRec, , BibSonomy, etc. and provides further insights into the advantages and disadvantages of each method. </p><p> </p><p>Th offers a rich blend of theory and practice, making it suitable for students, researchers and practitioners interested in both recommenders and factorization methods. Lecturers can also use it for classes on data mining, recommender systems and dimensionality reduction methods.</p>
★ Recommended Products Related To This Item
♥ Best Selling Products in this category
