Context-Aware Collaborative Prediction (Paperback, 1st ed. 2017)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	SpringerBriefs in Computer Science
Release date:	March 2018
First published:	2017
Authors:	Shu Wu • Qiang Liu • Liang Wang • Tieniu Tan
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	69
Edition:	1st ed. 2017
ISBN-13:	978-981-10-5372-6
Categories:	Books > Computing & IT > Applications of computing > Databases > Data mining Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	981-10-5372-3
Barcode:	9789811053726

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