Predicting User Actions on Bluesky: A Hybrid Approach Using Social-Media Personas

This research explores a hybrid approach for predicting both common and rare user actions on the social media platform Bluesky, which is important for understanding user behavior. The study's focus on a hybrid model suggests an attempt to balance accuracy with the computational efficiency needed for real-time applications.

• •The research investigates predicting user behavior on a new social media platform, Bluesky.
• •It employs a hybrid approach, implying the combination of different predictive techniques.
• •The study addresses both common and rare user actions, which is a broad scope.