Collaborative Filtering systems are essentially social systems which base their recommendation on the judgment of a large number of people. However, like other social systems, the...
The open nature of collaborative recommender systems allows attackers who inject biased profile data to have a significant impact on the recommendations produced. Standard memory-...
The amount of data exponentially increases in information systems and it becomes more and more difficult to extract the most relevant information within a very short time. Among ot...
Collaborative filtering (CF) techniques have proved to be a powerful and popular component of modern recommender systems. Common approaches such as user-based and item-based metho...
Rachael Rafter, Michael P. O'Mahony, Neil J. Hurle...
This paper proposes a two-level theoretical framework for the study of CMC illustrating the principles of mediation and contextual analysis. Based on log files and interviews from...