Real-Time Influence Maximization in a RTB Setting

Real-Time Influence Maximization in a RTB Setting

Abstract To maximize the impact of an advertisement campaign on social networks, the real-time bidding (RTB) systems aim at targeting the most influential users of this network. Influence maximization (IM) is a solution that addresses this issue by maximizing the coverage of the network with top-k i...

Full description

Bibliographic Details
Main Authors: David Dupuis, Cédric du Mouza, Nicolas Travers, Gaël Chareyron
Format: Article
Language:English
Published: SpringerOpen 2020-06-01
Series:Data Science and Engineering
Subjects:
Real-time bidding
Influence maximization
Social network
Online Access:https://doi.org/10.1007/s41019-020-00132-2

Internet

https://doi.org/10.1007/s41019-020-00132-2

Similar Items