6 citations · 16 across the 8 of their papers we have counts for
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cs.IR2021
Exploring The Role of Local and Global Explanations in Recommender Systems
Marissa Radensky, Doug Downey, Kyle Lo +2
Explanations are well-known to improve recommender systems' transparency. These explanations may be local, explaining an individual recommendation, or global, explaining the recomm…
cs.DL2021
Bursting Scientific Filter Bubbles: Boosting Innovation via Novel Author Discovery
Jason Portenoy, Marissa Radensky, Jevin West +3
Isolated silos of scientific research and the growing challenge of information overload limit awareness across the literature and hinder innovation. Algorithmic curation and recomm…