tsinghua-fib-lab/GNN-Recommender-Systems
An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
A step-by-step tutorial on developing a practical recommendation system (retrieval and ranking) using TensorFlow Recommenders and Keras.
$ git clone https://github.com/xei/recommender-system-tutorial.gitAn index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
allRank is a framework for training learning-to-rank neural models based on PyTorch.
My Keras implementation of the Deep Semantic Similarity Model (DSSM)/Convolutional Latent Semantic Model (CLSM) described here: http://research.microsoft.com/pubs/226585/cikm2014_cdssm_final.pdf.
Learning Intents behind Interactions with Knowledge Graph for Recommendation, WWW2021
the official implementation of the RecSys 2023 paper βUncovering ChatGPT's Capabilities in Recommender Systemsβ
Data from GitHub Β· snapshot Sep 24, 2026