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Point-of-interest recommendation in ...

King, Irwin.

Point-of-interest recommendation in location-based social networks

Record Type:	Electronic resources : Monograph/item
Title/Author:	Point-of-interest recommendation in location-based social networksby Shenglin Zhao, Michael R. Lyu, Irwin King.
Author:	Zhao, Shenglin.
other author:	Lyu, Michael R.
Published:	Singapore :Springer Singapore :2018.
Description:	ix, 101 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Social media.
Online resource:	http://dx.doi.org/10.1007/978-981-13-1349-3
ISBN:	9789811313493$q(electronic bk.)

Point-of-interest recommendation in location-based social networks
Zhao, Shenglin.

Point-of-interest recommendation in location-based social networks[electronic resource] /by Shenglin Zhao, Michael R. Lyu, Irwin King. - Singapore :Springer Singapore :2018. - ix, 101 p. :ill., digital ;24 cm. - SpringerBriefs in computer science,2191-5768. - 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.

ISBN: 9789811313493$q(electronic bk.)

Standard No.: 10.1007/978-981-13-1349-3doiSubjects--Topical Terms:

465899
Social media.

LC Class. No.: HM742

Dewey Class. No.: 302.231

Point-of-interest recommendation in location-based social networks
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520 $a 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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