RSPapers. RSTutorials: A Curated List of Must-read Papers on Recommender System.
6.5kRSAlgorithms. RSTutorials: A Curated List of Algorithms about Traditional and Social Recommender System.
715LightFR. The source code for the paper "LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization".
19IGA. The source code for the paper "Robust Data Hiding Using Inverse Gradient Attention".
15FedCA. The source code for the paper "Beyond Similarity: Personalized Federated Recommendation with Composite Aggregation, ACM TOIS 2026".
15matrix-factorization. matrix factorization for recommender system
5RecQ. RecQ: A Python Framework for Recommender Systems
4TransFR. Python
4machine-learning. I will implement some classic algorithms with python.
3baseline. baseline for matrix factorization and some other common methods
2pCVR_LYZZ. The competition pCVR for Tencent.
2MFDGE. The source code for the paper "Integrating Dual User Network Embedding with Matrix Factorization for Social Recommender Systems".
2deep-learning. I will implement some basic modules and algorithms with python or build some classic models with tensorflow framework.
1JPLeetCode. Java and Python in LeetCode. 通过Python语言和Java语言练习LeetCode平台上的算法习题。
1hongleizhang.
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