Author: Panagiotis Symeonidis
Publisher: Springer
ISBN: 3319413570
Category : Computers
Languages : en
Pages : 101
Book Description
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, Last.fm, BibSonomy, etc. and provides further insights into the advantages and disadvantages of each method. The book 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.
Matrix and Tensor Factorization Techniques for Recommender Systems
Author: Panagiotis Symeonidis
Publisher: Springer
ISBN: 3319413570
Category : Computers
Languages : en
Pages : 101
Book Description
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, Last.fm, BibSonomy, etc. and provides further insights into the advantages and disadvantages of each method. The book 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.
Publisher: Springer
ISBN: 3319413570
Category : Computers
Languages : en
Pages : 101
Book Description
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, Last.fm, BibSonomy, etc. and provides further insights into the advantages and disadvantages of each method. The book 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.
Chemical Abstracts
Author:
Publisher:
ISBN:
Category : Chemistry
Languages : en
Pages : 1072
Book Description
Publisher:
ISBN:
Category : Chemistry
Languages : en
Pages : 1072
Book Description
Eyton's Herd Book of Hereford Cattle
Author: Hereford Herd Book Society
Publisher:
ISBN:
Category : Cattle
Languages : en
Pages : 962
Book Description
Publisher:
ISBN:
Category : Cattle
Languages : en
Pages : 962
Book Description
Haileybury Register
Author: Haileybury and Imperial Service College
Publisher:
ISBN:
Category :
Languages : en
Pages : 910
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 910
Book Description
Books and Reading
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 844
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 844
Book Description
Machinery
Author:
Publisher:
ISBN:
Category : Mechanical engineering
Languages : en
Pages : 1092
Book Description
Publisher:
ISBN:
Category : Mechanical engineering
Languages : en
Pages : 1092
Book Description
Official Summary of Security Transactions and Holdings Reported to the Securities and Exchange Commission Under the Securities Exchange Act of 1934 and the Public Utility Holding Company Act of 1935
Author:
Publisher:
ISBN:
Category : Securities
Languages : en
Pages : 248
Book Description
Publisher:
ISBN:
Category : Securities
Languages : en
Pages : 248
Book Description
The Monthly Army List
Author: Great Britain. Army
Publisher:
ISBN:
Category : Retired military personnel
Languages : en
Pages : 1228
Book Description
Publisher:
ISBN:
Category : Retired military personnel
Languages : en
Pages : 1228
Book Description
The London, Edinburgh and Dublin Philosophical Magazine and Journal of Science
Author:
Publisher:
ISBN:
Category : English periodicals
Languages : en
Pages : 1052
Book Description
Publisher:
ISBN:
Category : English periodicals
Languages : en
Pages : 1052
Book Description
International Catalogue of Scientific Literature [1901-14]
Author:
Publisher:
ISBN:
Category : Classification
Languages : en
Pages : 830
Book Description
Publisher:
ISBN:
Category : Classification
Languages : en
Pages : 830
Book Description