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Point-Of-Interest Recommendation in Location-Based Social Networks (Springerbriefs in Computer Science)
Shenglin Zhao; Michael R. Lyu; Irwin King (Author)
·
Springer
· Paperback
Point-Of-Interest Recommendation in Location-Based Social Networks (Springerbriefs in Computer Science) - Shenglin Zhao; Michael R. Lyu; Irwin King
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Synopsis "Point-Of-Interest Recommendation in Location-Based Social Networks (Springerbriefs in Computer Science)"
This book systematically introduces Point-of-interest (POI) recommendations in Location-based Social Networks (LBSNs). Starting with a review of the advances in this area, the book then analyzes user mobility in LBSNs from geographical and temporal perspectives. Further, it demonstrates how to build a state-of-the-art POI recommendation system by incorporating the user behavior analysis. Lastly, the book discusses future research directions in this area. This book is intended for professionals involved in POI recommendation and graduate students working on problems related to location-based services. It is assumed that readers have a basic knowledge of mathematics, as well as some background in recommendation systems.
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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
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