Personalised recommender systems aim to help users retrieve relevant information from large collections, by automatically nding and suggesting products of likely interest based on observed evidence of the users’ preferences. These preferences are dicult to guess, and therefore recommender sys
['Alejandro Bellogín', 'Pablo Castells', 'Iván Cantador']
Predicting Recommender System Performance from an Information Retrieval Perspective