MMRec: Simplifying Multimodal Recommendation
Xin Zhou
Abstract
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 https://github.com/enoche/MMRec.
Topics & Concepts
Computer scienceToolboxDocumentationModalitiesSource codeRecommender systemCode (set theory)GraphRangingProcess (computing)Open sourceSoftware engineeringArtificial intelligenceInformation retrievalMachine learningHuman–computer interactionProgramming languageSoftwareTheoretical computer scienceSet (abstract data type)Social scienceTelecommunicationsSociologyRecommender Systems and TechniquesTopic ModelingAdvanced Graph Neural Networks