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

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Point-of-interest recommendation in location-based social networks/ by Shenglin Zhao, Michael R. Lyu, Irwin King.
作者:	Zhao, Shenglin.
其他作者:	Lyu, Michael R.
出版者:	Singapore :Springer Singapore : : 2018.,
面頁冊數:	ix, 101 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Social media. -
電子資源:	http://dx.doi.org/10.1007/978-981-13-1349-3
ISBN:	9789811313493

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

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

780265
Social media.

LC Class. No.: HM742

Dewey Class. No.: 302.231

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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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