Event Attendance Prediction in Social Networks is popular PDF and ePub book, written by Xiaomei Zhang in 2022-01-01, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Event Attendance Prediction in Social Networks can be Read Online from any device for your convenience.
Event Attendance Prediction in Social Networks Book PDF Summary
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.
Detail Book of Event Attendance Prediction in Social Networks PDF
- Author : Xiaomei Zhang
- Release : 01 January 2022
- Publisher : Springer Nature
- ISBN : 9783030892623
- Genre : Mathematics
- Total Page : 59 pages
- Language : English
- PDF File Size : 13,6 Mb
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