Search
Now showing items 1-2 of 2
Novel automatic group identification approaches for group recommendation
(Elsevier, 2021)
Group recommender systems are specialized in suggesting preferable products or services to a group of users rather than an individual by aggregating personal preferences of group members. In such expert systems, the initial ...
Exploring potential biases towards blockbuster items in ranking-based recommendations
(Springer, 2022)
Popularity bias is defined as the intrinsic tendency of recommendation algorithms to feature popular items more than unpopular ones in the ranked lists lists they produced. When investigating the adverse effects of popularity ...