Spatio-temporal recommendation in social media [electronic resource] / Hongzhi Yin, Bin Cui.
2016
QA76.9.I58
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Details
Title
Spatio-temporal recommendation in social media [electronic resource] / Hongzhi Yin, Bin Cui.
Author
Yin, Hongzhi, author.
ISBN
9789811007484 (electronic book)
9811007489 (electronic book)
9789811007477
9811007489 (electronic book)
9789811007477
Published
Singapore : Springer, 2016.
Language
English
Description
1 online resource (xiii, 114 pages) : illustrations.
Call Number
QA76.9.I58
Dewey Decimal Classification
005.5/6
Summary
This book covers the major fundamentals of and the latest research on next-generation spatio-temporal recommendation systems in social media. It begins by describing the emerging characteristics of social media in the era of mobile internet, and explores the limitations to be found in current recommender techniques. The book subsequently presents a series of latent-class user models to simulate users' behaviors in decision-making processes, which effectively overcome the challenges arising from temporal dynamics of users' behaviors, user interest drift over geographical regions, data sparsity and cold start. Based on these well designed user models, the book develops effective multi-dimensional index structures such as Metric-Tree, and proposes efficient top-k retrieval algorithms to accelerate the process of online recommendation and support real-time recommendation. In addition, it offers methodologies and techniques for evaluating both the effectiveness and efficiency of spatio-temporal recommendation systems in social media. The book will appeal to a broad readership, from researchers and developers to undergraduate and graduate students.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed May 26, 2016).
Added Author
Cui, Bin, author
Series
SpringerBriefs in computer science.
Available in Other Form
Spatio-temporal recommendation in social media.
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Table of Contents
1. Introduction
2. Temporal Context-Aware Recommendation
3. Spatial Context-Aware Recommendation
4. Location-based and Real-time Recommendation
5. Fast Online Recommendation. .
2. Temporal Context-Aware Recommendation
3. Spatial Context-Aware Recommendation
4. Location-based and Real-time Recommendation
5. Fast Online Recommendation. .