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Predicting User Engagement on Social Media: A Comparative Study of Machine Learning-based Modeling ApproachesBy Nagendra Singh, Manish Dixit, Saurabh Pachauri, Shobhit Mohan Sharma, Anil Singh
Abstract: Abstract Even while mobile social apps are becoming more and more important in people's daily lives, little is known about the elements that motivate users to interact with these apps. The goal of this work is to analyze and define the transition patterns of individual users' in-app actions as a temporally changing action graph. According to our investigation, action graphs are a useful tool for characterizing user behaviour patterns and …
Published in International Journal of Computer Aided Manufacturing · Vol. 11, Issue 2, 2025 · pp. 41–62 Read article →