Search

Now showing items 1-1 of 1

Treating adverse effects of blockbuster bias on beyond-accuracy quality of personalized recommendations

Yalcin Emre; Bilge Alper (Elsevier, 2022)

Collaborative filtering recommendation algorithms are vulnerable against the popularity bias, including the most popular items repeatedly into the produced ranked lists. However, the research on popularity bias focuses ...