PeerChooser: visual interactive recommendation

Collaborative filtering (CF) has been successfully deployed over the years to compute predictions on items based on a user's correlation with a set of peers. The black-box nature of most CF applications leave the user wondering how the system arrived at its recommendation. This note introduces PeerChooser, a collaborative recommender system with an interactive graphical explanation interface. Users are provided with a visual explanation of the CF process and opportunity to manipulate their neighborhood at varying levels of granularity to reflect aspects of their current requirements. In this manner we overcome the problem of redundant profile information in CF systems, in addition to providing an explanation interface. Our layout algorithm produces an exact, noiseless graph representation of the underlying correlations between users. PeerChooser's prediction component uses this graph directly to yield the same results as the benchmark. User's then improve on these predi...

• Type: Conference
• Year: 2008
• Where: CHI
• Authors: Barry Smyth, Brynjar Gretarsson, John O'Donovan, Svetlin Bostandjiev, Tobias Höllerer
• Keywords: Benchmark Cf Algorithm, CF Systems, CHI 2008, Human Computer Interaction, Keywords Recommender Systems