Create a collaborative filtering system that recommends articles to a user based on the user’s past behavior.

Encode all articles into vectors using word2vec, and build a model that returns articles based on vector similarity.

Build a logistic regression model for each user that predicts whether an article should be recommended to a user.

Manually label a few hundred articles, and then train an SVM classifier based on the manually classified articles that categorizes additional articles into their respective categories.