20 citations · 35 across the 7 of their papers we have counts for
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cs.IR2024
MOSAIC: Multimodal Multistakeholder-aware Visual Art Recommendation
Bereket A. Yilma, Luis A. Leiva
Visual art (VA) recommendation is complex, as it has to consider the interests of users (e.g. museum visitors) and other stakeholders (e.g. museum curators). We study how to effect…
cs.IR2024★ 12 cited
Artful Path to Healing: Using Machine Learning for Visual Art Recommendation to Prevent and Reduce Post-Intensive Care
Bereket A. Yilma, Chan Mi Kim, Gerald C. Cupchik +1
Staying in the intensive care unit (ICU) is often traumatic, leading to post-intensive care syndrome (PICS), which encompasses physical, psychological, and cognitive impairments. C…
cs.IR2023★ 20 cited
The Elements of Visual Art Recommendation: Learning Latent Semantic Representations of Paintings
Bereket A. Yilma, Luis A. Leiva
Artwork recommendation is challenging because it requires understanding how users interact with highly subjective content, the complexity of the concepts embedded within the artwor…