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Event Attendance Prediction in Social Networks

Af: Guohong Cao, Xiaomei Zhang Engelsk Paperback

Event Attendance Prediction in Social Networks

Af: Guohong Cao, Xiaomei Zhang Engelsk Paperback
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This volume focuses on predicting users'' attendance at a future event at specific time and location based on their common interests. Event attendance prediction has attracted considerable attention because of its wide range of potential applications. By predicting event attendance, events that better fit users'' interests can be recommended, and personalized location-based or topic-based services related to the events can be provided to users. Moreover, it can help event organizers estimating the event scale, identifying conflicts, and help manage resources. This book first surveys existing techniques on event attendance prediction and other related topics in event-based social networks. It then introduces a context-aware data mining approach to predict the event attendance by learning how users are likely to attend future events. Specifically, three sets of context-aware attributes are identified by analyzing users'' past activities, including semantic, temporal, and spatial attributes. This book illustrates how these attributes can be applied for event attendance prediction by incorporating them into supervised learning models, and demonstrates their effectiveness through a real-world dataset collected from event-based social networks. 


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This volume focuses on predicting users'' attendance at a future event at specific time and location based on their common interests. Event attendance prediction has attracted considerable attention because of its wide range of potential applications. By predicting event attendance, events that better fit users'' interests can be recommended, and personalized location-based or topic-based services related to the events can be provided to users. Moreover, it can help event organizers estimating the event scale, identifying conflicts, and help manage resources. This book first surveys existing techniques on event attendance prediction and other related topics in event-based social networks. It then introduces a context-aware data mining approach to predict the event attendance by learning how users are likely to attend future events. Specifically, three sets of context-aware attributes are identified by analyzing users'' past activities, including semantic, temporal, and spatial attributes. This book illustrates how these attributes can be applied for event attendance prediction by incorporating them into supervised learning models, and demonstrates their effectiveness through a real-world dataset collected from event-based social networks. 


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Produktdetaljer
Sprog: Engelsk
Sider: 54
ISBN-13: 9783030892616
Indbinding: Paperback
Udgave:
ISBN-10: 3030892611
Kategori: Social forskning og statistik
Udg. Dato: 25 nov 2021
Længde: 0mm
Bredde: 155mm
Højde: 235mm
Forlag: Springer Nature Switzerland AG
Oplagsdato: 25 nov 2021
Forfatter(e): Guohong Cao, Xiaomei Zhang
Forfatter(e) Guohong Cao, Xiaomei Zhang

Kategori Social forskning og statistik

ISBN-13 9783030892616

Sprog Engelsk

Indbinding Paperback

Sider 54

Udgave

Længde 0mm

Bredde 155mm

Højde 235mm

Udg. Dato 25 nov 2021

Oplagsdato 25 nov 2021

Forlag Springer Nature Switzerland AG