Improving Sparsity Problem in Group Recommendation.
Sarik Ghazarian, Nafiseh Shabib, Mohammad Ali Nematbakhsh · 2014
Group recommendation systems can be very challenging when the datasets are sparse and there are not many available rat-ings for items. In this paper, by enhancing basic memory-based techniques we resolve the data sparsity problem for users in the group. The results have shown that by con-ducting our techniques for the users in the group we have a higher group satisfaction and lower group dissatisfaction.