Description: Spatio-temporal Recommendation in Social Media, Paperback by Yin, Hongzhi; Cui, Bin, ISBN 9811007470, ISBN-13 9789811007477, Like New Used, Free shipping in the US
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.
Price: 70.13 USD
Location: Jessup, Maryland
End Time: 2025-01-15T11:27:11.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 14 Days
Refund will be given as: Money Back
Return policy details:
Book Title: Spatio-temporal Recommendation in Social Media
Number of Pages: Xiii, 114 Pages
Publication Name: Spatio-Temporal Recommendation in Social Media
Language: English
Publisher: Springer
Publication Year: 2016
Subject: Probability & Statistics / General, System Administration / Storage & Retrieval, Databases / Data Mining, Databases / General
Item Weight: 72.6 Oz
Type: Textbook
Item Length: 9.3 in
Author: Bin Cui, Hongzhi Yin
Subject Area: Mathematics, Computers
Item Width: 6.1 in
Series: Springerbriefs in Computer Science Ser.
Format: Trade Paperback
