Adaptive content-aware influence maximization via online learning to rank

Adaptive content-aware influence maximization via online learning to rank

How can we adapt the composition of a post over a series of rounds to make it more appealing in a social network? Techniques that progressively learn how to make a fixed post more influential over rounds have been studied in the context of the Influence Maximization (IM) problem, which seeks a set o...

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Bibliographic Details
Main Authors: THEOCHARIDIS, Konstantinos, Karras, Panagiotis, Terrovitis, Manolis, Skiadopoulos, Spiros, LAUW, Hady Wirawan
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2024
Subjects:
Influence maximization
content recommendation
social networks
online learning
simulation
Databases and Information Systems
Theory and Algorithms
Online Access:https://ink.library.smu.edu.sg/sis_research/9908
https://ink.library.smu.edu.sg/context/sis_research/article/10908/viewcontent/Adaptive_Content_Aware_3651987_pvoa_cc_by_nc.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/9908
https://ink.library.smu.edu.sg/context/sis_research/article/10908/viewcontent/Adaptive_Content_Aware_3651987_pvoa_cc_by_nc.pdf

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