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Context-Aware Collaborative Prediction / by Shu Wu, Qiang Liu, Liang Wang, Tieniu Tan.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Author/Creator:
Wu, Shu, author.
Liu, Qiang, author.
Wang, Liang, author.
Tan, Tieniu, author.
Contributor:
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
SpringerBriefs in computer science 2191-5768
SpringerBriefs in Computer Science, 2191-5768
Language:
English
Subjects (All):
Information storage and retrieval.
Application software.
Data mining.
Artificial intelligence.
Information Storage and Retrieval.
Information Systems Applications (incl. Internet).
Data Mining and Knowledge Discovery.
Artificial Intelligence.
Local Subjects:
Information Storage and Retrieval.
Information Systems Applications (incl. Internet).
Data Mining and Knowledge Discovery.
Artificial Intelligence.
Physical Description:
1 online resource (XI, 69 pages) : 9 illustrations, 8 illustrations in color.
Edition:
First edition 2017.
Contained In:
Springer eBooks
Place of Publication:
Singapore : Springer Singapore : Imprint: Springer, 2017.
System Details:
text file PDF
Summary:
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.
Contents:
1. Introduction
2. Context-Aware Collaborative Prediction
3. Context Operation
4. Hierarchical Representation
5. Context-Aware Recurrent Structure
6. Performance of Different Collaborative Prediction Tasks.
Other Format:
Printed edition:
ISBN:
978-981-10-5373-3
9789811053733
9789811053726
9789811053740
Access Restriction:
Restricted for use by site license.

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