Context-Aware Collaborative Prediction

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Éditeur :

Springer


Collection :

SpringerBriefs in Computer Science

Paru le : 2018-03-10

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Description

This book presents two collaborative prediction approaches based on contextual representation and hierarchical representation, and their applications including context-aware recommendation, latent collaborative retrieval and click-through rate prediction. The proposed techniques offer significant improvements over current methods, the key determinants being the incorporated contextual representation and hierarchical representation. To provide a background to the core ideas presented, it offers an overview of contextual modeling and the theory of contextual representation and hierarchical representation, which are constructed for the joint interaction of entities and contextual information.
The book offers a rich blend of theory and practice, making it a valuable resource for students, researchers and practitioners who need to construct systems of information retrieval, data mining and recommendation systems with contextual information.
Pages
69 pages
Collection
SpringerBriefs in Computer Science
Parution
2018-03-10
Marque
Springer
EAN papier
9789811053726
EAN PDF
9789811053733

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
6
Taille du fichier
1833 Ko
Prix
52,74 €