An open-source framework for self-supervised recommender systems.

A list of awesome papers and resources of recommender system on large language model (LLM).

The official GitHub page for the survey paper "Towards Next-Generation LLM-based Recommender Systems: A Survey and Beyond". And this paper is under review.

Reading list for research topics in multimodal machine learning

A Toolbox for MultiModal Recommendation. Integrating 10+ Models...

The code for the paper "MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation" (ACM MM'23).

A music recommender system using Last.fm data

A curated list of awesome resources about multimodal recommender systems.

A Comparative Framework for Multimodal Recommender Systems

Multimodal Recommender System for MOOCs, based on the MOOCCube dataset

Multi-View Graph Convolutional Network for Multimedia Recommendation

MMGCL: Meta Knowledge-Enhanced Multi-view Graph Contrastive Learning for Recommendations

A PyTorch implementation of DeepFM for CTR prediction problem.

A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch

Code for kdd-24 paper "GPFedRec: Graph-Guided Personalization for Federated Recommendation"

An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)