Analyzing College Students' Preferences for Online Micro-dramas Using Machine Learning Techniques

This study investigates college students' likes and dislikes for online micro-dramas, using machine learning to find out what affects these preferences. We combined different types of data and used machine learning to deeply look into how often students watch, their year in college, what they study, and how they interact with others affects what they like in micro-dramas. The study shows that how often students watch plays a big role in what kinds of micro-dramas they prefer, with older students liking stories with more complex plots. Also, students studying different subjects have different favorite types of micro-dramas. Social interactions are also important for how much people enjoy and feel involved in these shows. This research helps people who make content and run platforms for online micro-dramas to understand their audience better and improve how they keep their audience interested and happy.