Enhancing Collaborative Filtering with Friendship Information
Liliana Ardissono, Maurizio Ferrero, Giovanna Petrone, Marino Segnan · 2017
We test the impact of integrating a measure of common friendship in collaborative filtering, in order to capture the intuition that socially interconnected groups of people tend to have similar tastes. An experiment on the Yelp dataset shows that using preference information derived from the commonalities of interests in networks of friends achieves higher accuracy than item-to-item collaborative filtering.