Kontakt
Jak kupować
Dostawa
Doradca ds. zakupów
Advancing Recommender Systems with Graph Convolution Networks
Angielski
299 b
Nawet do 30 dni na zwrot
Klienci kupili także
/
Adobe ePub DRM
34.90
zł
/
Miękka
107.35
zł
/
Twarda
186.49
zł
This book systematically examines scalability and effectiveness challenges related to the application of graph convolutional networks (GCNs) in recommender systems. By effectively modeling graph structures, GCNs excel in capturing high-order relationships between users and items, enabling the creation of enriched and expressive representations.
The book focuses on two overarching problem categories: the first area deals with problems specific to GCN-based recommendation models, including over-smoothing, noisy neighboring nodes, and interpretability limitations. The second one encompasses broader challenges in recommendation systems that GCN-based methods are particularly well-suited to address as the attribute missing problem or feature misalignment. Through rigorous exploration of these challenges, this book presents innovative GCN-based solutions to push the boundaries of recommender system design. To this end, techniques such as interest-aware message-passing strategy, cluster-based collaborative filtering, semantic aspects extraction, attribute-aware attention mechanisms, and light graph transformer are presented.
Each chapter combines theoretical insights with practical implementations and experimental validation, offering a comprehensive resource for researchers, advanced professionals, and graduate students alike.
Informacje o książce
Angielski
Podaruj tę książkę jeszcze dziś
To łatwe
1 Dodaj książkę do koszyka i wybierz „dostarczyć jako prezent” 2 W odpowiedzi wyślemy Ci bon 3 Książka dotrze na adres obdarowanegoMogłoby Cię także zainteresować
/
Miękka
184.16
zł
/
Miękka
36.32
zł
/
Miękka
94.36
zł
/
Miękka
49.71
zł
/
Miękka
78.93
zł
Cześć! Jestem Libroamiko, Twój doradca książkowy.
Jak mogę Ci pomóc?