Context-aware collaborative prediction / Shu Wu, Qiang Liu, Liang Wang, Tieniu Tan.
2017
QA76.5915
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Details
Title
Context-aware collaborative prediction / Shu Wu, Qiang Liu, Liang Wang, Tieniu Tan.
ISBN
9789811053733 (electronic book)
9811053731 (electronic book)
9789811053726
9811053723
9811053731 (electronic book)
9789811053726
9811053723
Published
Singapore : Springer, 2017.
Language
English
Description
1 online resource.
Item Number
10.1007/978-981-10-5373-3 doi
Call Number
QA76.5915
Dewey Decimal Classification
004
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.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file PDF
Source of Description
Online resource; title from PDF title page (viewed March 14, 2018)
Series
SpringerBriefs in computer science.
Available in Other Form
Print version: 9789811053726
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Online Access
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Table of 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.
2. Context-Aware Collaborative Prediction
3. Context Operation
4. Hierarchical Representation
5. Context-Aware Recurrent Structure
6. Performance of Different Collaborative Prediction Tasks.