Together Yet Apart: Multimodal Representation Learning for Personalised Visual Art Recommendation

Yilma, Bereket Abera; Leiva, Luis A.

doi:10.1145/3565472.3592964

Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization 2023

DOI: 10.1145/3565472.3592964

|View full text |Cite

Together Yet Apart: Multimodal Representation Learning for Personalised Visual Art Recommendation

Bereket Abera Yilma

Luis A. Leiva

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Other2

Relationship

Self Cite1

Independent1

Authors

Journals

Cited by 2 publications

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Artful Path to Healing: Using Machine Learning for Visual Art Recommendation to Prevent and Reduce Post-Intensive Care Syndrome (PICS)

Yilma,

Kim,

Cupchik

et al. 2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

Self Cite

View full text Add to dashboard Cite

Artful Path to Healing: Using Machine Learning for Visual Art Recommendation to Prevent and Reduce Post-Intensive Care Syndrome (PICS)

Yilma,

Kim,

Cupchik

et al. 2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

Self Cite

View full text Add to dashboard Cite

Computational Methods for Designing Human-Centered Recommender Systems: A Case Study Approach Intersecting Visual Arts and Healthcare

Yilma

2024

18th ACM Conference on Recommender Systems

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Together Yet Apart: Multimodal Representation Learning for Personalised Visual Art Recommendation

Cited by 2 publications

References 25 publications

Artful Path to Healing: Using Machine Learning for Visual Art Recommendation to Prevent and Reduce Post-Intensive Care Syndrome (PICS)

Artful Path to Healing: Using Machine Learning for Visual Art Recommendation to Prevent and Reduce Post-Intensive Care Syndrome (PICS)

Computational Methods for Designing Human-Centered Recommender Systems: A Case Study Approach Intersecting Visual Arts and Healthcare

Contact Info

Product

Resources

About