Description: Spatio-temporal Recommendation in Social Media, Paperback by Yin, Hongzhi; Cui, Bin, ISBN 9811007470, ISBN-13 9789811007477, Like New Used, Free P&P in the UK
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. Th 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, th 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. Th will appeal to a broad readership, from researchers and developers to undergraduate and graduate students.
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Book Title: Spatio-temporal Recommendation in Social Media
Number of Pages: 114 Pages
Publication Name: Spatio-Temporal Recommendation in Social Media
Language: English
Publisher: Springer Verlag, Singapore
Item Height: 235 mm
Subject: Computer Science
Publication Year: 2016
Type: Textbook
Item Weight: 2058 g
Author: Hongzhi Yin, Bin Cui
Item Width: 155 mm
Series: Springerbriefs in Computer Science
Format: Paperback
