KanchanIIT/Facebook-Profile-Based-TV-Recommender-System

We implement and evaluate several algorithms in the context of developing a recommender system based on data gathered from Facebook user profiles. In particular, we look at a Matrix Factorization technique (SVD), a Clustering algorithm (K-Means), two Collaborative Filtering algorithms, a Content-Filtering approach, Latent Semantic Analysis (LSA), Link Prediction, and Na¨ıve Bayes, and compare their performance in terms of standard measures. The algorithms draw from principles and techniques in Machine Learning, Natural Language Processing, Information Retrieval, as well as Graph Theory.