PeerChooser: visual interactive recommendation

13 years 10 months ago
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...
Barry Smyth, Brynjar Gretarsson, John O'Donovan, S
Added 30 Nov 2009
Updated 30 Nov 2009
Type Conference
Year 2008
Where CHI
Authors Barry Smyth, Brynjar Gretarsson, John O'Donovan, Svetlin Bostandjiev, Tobias Höllerer
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