Adaptive content-aware influence maximization via online learning to rank

• 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
• Institution: Singapore Management University

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...