2 citations · 3 across the 4 of their papers we have counts for
4 papers
Why This, Not That? Mining User Profiles for Pair-wise Counterfactuals
Meysam Varasteh, Veronika Bogina, Noam Koenigstein +1
The topic of explanation in recommender systems has seen steady research attention since the earliest days of the field. With some exceptions, this work has focused on the explanat…
Fidelity-Aware Recommendation Explanations via Stochastic Path Integration
Oren Barkan, Yahlly Schein, Yehonatan Elisha +3
Explanation fidelity, which measures how accurately an explanation reflects a model's true reasoning, remains critically underexplored in recommender systems. We introduce SPINRec…
Towards Algorithmic Transparency: A Diversity Perspective
Fausto Giunchiglia, Jahna Otterbacher, Styliani Kleanthous +4
As the role of algorithmic systems and processes increases in society, so does the risk of bias, which can result in discrimination against individuals and social groups. Research…
Mitigating Bias in Algorithmic Systems -- A Fish-Eye View
Kalia Orphanou, Jahna Otterbacher, Styliani Kleanthous +6
Mitigating bias in algorithmic systems is a critical issue drawing attention across communities within the information and computer sciences. Given the complexity of the problem an…