Read and Unread Prediction
- Developed a recommendation model predicting user read/unread behavior based on user book lists in Python.
- Leveraged popularity ratio, Jaccard similarity, cosine similarity, and Pearson correlation to select optimal decision rule.
- Accomplished top 10% ranking in class (about 380 undergraduate and 350 graduate students).