Panagiotis Symeonidis – författare
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6 produkter
Recommender Systems for Social Tagging Systems
Av Leandro Balby Marinho, Andreas Hotho m. fl.
Häftad, 2012
568 kr
Lägg i varukorg
Social Tagging Systems are web applications in which users upload resources (e.g., bookmarks, videos, photos, etc.) and annotate it with a list of freely chosen keywords called tags. This is a grassroots approach to organize a site and help users to find the resources they are interested in. Social …
Recommender Systems for Social Tagging Systems
Av Panagiotis Symeonidis, Gerd Stumme m. fl.
E-bok, 2012
755 kr
Lägg i varukorg
Social Tagging Systems are web applications in which users upload resources (e.g., bookmarks, videos, photos, etc.) and annotate it with a list of freely chosen keywords called tags. This is a grassroots approach to organize a site and help users to find the resources they are interested in. Social …
Recommender Systems for Location-based Social Networks
Av Panagiotis Symeonidis, Dimitrios Ntempos m. fl.
Häftad, 2014
567 kr
Lägg i varukorg
Online social networks collect information from users' social contacts and their daily interactions (co-tagging of photos, co-rating of products etc.) to provide them with recommendations of new products or friends. Lately, technological progressions in mobile devices (i.e. smart phones) enabled …
Recommender Systems for Location-based Social Networks
Av Yannis Manolopoulos, Dimitrios Ntempos m. fl.
E-bok, 2014
739 kr
Lägg i varukorg
Online social networks collect information from users'' social contacts and their daily interactions (co-tagging of photos, co-rating of products etc.) to provide them with recommendations of new products or friends. Lately, technological progressions in mobile devices (i.e. smart phones) enabled …
Matrix and Tensor Factorization Techniques for Recommender Systems
Av Panagiotis Symeonidis, Andreas Zioupos
Häftad, 2017
822 kr
Lägg i varukorg
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 …
Matrix and Tensor Factorization Techniques for Recommender Systems
Av Andreas Zioupos, Panagiotis Symeonidis
E-bok, 2017
1067 kr
Lägg i varukorg
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 …