The study shows how the choice of the different factors and assessment alternatives affects followee recommendation. It also verifies the existence of certain patterns regarding friends and random users' similarities, which can condition the adequacy of the available similarity metrics.
This work presents an online feature selection technique for high-dimensional data based on the integration of two information sources, social and content-based, for the real-time classification of short-text streams coming from social media.