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Record Nr. |
UNINA9910299304103321 |
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Autore |
Zhao Shenglin |
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Titolo |
Point-of-Interest Recommendation in Location-Based Social Networks / / by Shenglin Zhao, Michael R. Lyu, Irwin King |
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Pubbl/distr/stampa |
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Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 |
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ISBN |
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981-13-1349-0 |
978-981-13-1349-3 |
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Edizione |
[1st ed. 2018.] |
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Descrizione fisica |
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1 online resource (IX, 101 p. 38 illus.) |
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Collana |
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SpringerBriefs in Computer Science, , 2191-5768 |
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Disciplina |
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Soggetti |
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Data mining |
Application software |
Multimedia information systems |
Artificial intelligence |
Geographical information systems |
Data Mining and Knowledge Discovery |
Information Systems Applications (incl. Internet) |
Multimedia Information Systems |
Artificial Intelligence |
Geographical Information Systems/Cartography |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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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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