Papers › MMRec: Simplifying Multimodal Recommendation

MMRec: Simplifying Multimodal Recommendation

2 Feb 2023arXiv:2302.03497archive 2025-07-28

Xin Zhou

This paper presents an open-source toolbox, MMRec for multimodal recommendation. MMRec simplifies and canonicalizes the process of implementing and comparing multimodal recommendation models. The objective of MMRec is to provide a unified and configurable arena that can minimize the effort in implementing and testing multimodal recommendation models. It enables multimodal models, ranging from traditional matrix factorization to modern graph-based algorithms, capable of fusing information from multiple modalities simultaneously. Our documentation, examples, and source code are available at \url{https://github.com/enoche/MMRec}.

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enoche/mmrec officialmentioned in papermentioned on GitHubpytorchGPL-3.0 report

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Multimodal Recommendation

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