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

License: MIT License

Python 12.15% Shell 0.12% Jupyter Notebook 87.73%

mrl_va_recsys's Introduction

MRL_VA_RecSys

The official implementation of "Together Yet Apart: Multimodal Representation Learning for Personalised Visual Art Recommendation" Paper which will appear in the Proceedings of the ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2023).

Setup

See RecSys engine instructions for setting up the Recommendation services.

Citation

When you use this work or method for your research, we ask you to cite the following publication:

Bereket A. Yilma, Luis A. Leiva: Together Yet Apart: Multimodal Representation Learning for Personalised Visual Art Recommendation, Proceedings of the ACM Conference on on User Modeling, Adaptation and Personalization (UMAP 2023).

@inproceedings{10.1145/3565472.3592964,
author = {Yilma, Bereket A. and Leiva, Luis A.},
title = {Together Yet Apart: Multimodal Representation Learning for Personalised Visual Art Recommendation},
year = {2023},
isbn = {9781450399326},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3565472.3592964},
doi = {10.1145/3565472.3592964},
pages = {204–214},
numpages = {11},
keywords = {Recommendation, Personalization, Artwork, User Experience, Machine Learning},
location = {Limassol, Cyprus},
series = {UMAP '23}
}

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