Algorithmic and HCI Aspects for Explaining Recommendations of Artistic Images.
ACM Trans. Interact. Intell. Syst., 2020
Content-based artwork recommendation: integrating painting metadata with neural and manually-engineered visual features.
User Model. User Adapt. Interact., 2019
The effect of explanations and algorithmic accuracy on visual recommender systems of artistic images.
Proceedings of the 24th International Conference on Intelligent User Interfaces, 2019
Do Better ImageNet Models Transfer Better... for Image Recommendation ?
CoRR, 2018
Towards Explanations for Visual Recommender Systems of Artistic Images.
Proceedings of the 5th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, 2018
Exploring Content-based Artwork Recommendation with Metadata and Visual Features.
CoRR, 2017
pyRecLab: A Software Library for Quick Prototyping of Recommender Systems.
Proceedings of the Poster Track of the 11th ACM Conference on Recommender Systems (RecSys 2017), 2017
Comparing Neural and Attractiveness-based Visual Features for Artwork Recommendation.
Proceedings of the 2nd Workshop on Deep Learning for Recommender Systems, 2017