Point-of-Interest Recommendation in Location-Based Social Networks

Nonfiction, Computers, Advanced Computing, Information Technology, Database Management, General Computing
Cover of the book Point-of-Interest Recommendation in Location-Based Social Networks by Shenglin Zhao, Michael R. Lyu, Irwin King, Springer Singapore
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Author: Shenglin Zhao, Michael R. Lyu, Irwin King ISBN: 9789811313493
Publisher: Springer Singapore Publication: July 13, 2018
Imprint: Springer Language: English
Author: Shenglin Zhao, Michael R. Lyu, Irwin King
ISBN: 9789811313493
Publisher: Springer Singapore
Publication: July 13, 2018
Imprint: Springer
Language: English

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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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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