News Recommendation System Using Logistic Regression and Naive Bayes Classifiers
Chi Wai Lau · 2011
To offer a more personalized experience, we implemented a news recommendation system using various machine learning techniques. We learned that Logistic Regression worked a lot better than Naive Bayes. Also surprisingly, for both algorithms, more training data did not necessarily lead to better results; however, the performance became better as the ratio of positive training samples increased.