session-based-recommendation

Here are 11 public repositories matching this topic...

NVIDIA-Merlin / Transformers4Rec

Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.

nlp tabular-data pytorch transformer seq2seq recsys recommender-system gtp language-model bert huggingface xlnet session-based-recommendation

Updated Oct 8, 2024
Python

CRIPAC-DIG / SR-GNN

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[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"

machine-learning recommender-systems graph-neural-networks session-based-recommendation

Updated Nov 12, 2021
Python

mengfeizhang820 / Paperlist-for-Recommender-Systems

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Recommender Systems Paperlist that I am interested in

embeddings collaborative-filtering recommender-systems ctr-prediction graph-embedding neural-collaborative-filtering sequential-recommendation knowledge-graph-for-recommendation industry-recommendations session-based-recommendation

Updated Jul 29, 2021

SpaceLearner / SessionRec-pytorch

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Session-based Recommendation

recommendation-system session-based-recommendation-system session-based-recommendation

Updated Jun 20, 2024
Python

CRIPAC-DIG / TAGNN

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[SIGIR 2020] Python implementation for "TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation"

machine-learning recommender-systems graph-neural-networks session-based-recommendation target-aware-attention

Updated Apr 25, 2024
Python

The-Learning-Machines / SBR

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PyTorch Implementation of Introducing Self-Attention to Target Attentive Graph Neural Networks (AISP '22)

attention recommender-systems graph-neural-networks session-based-recommendation

Updated Dec 23, 2021
Python

ZhengxiangShi / SelfContrastiveLearningRecSys

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[ECIR 2024] Official repository for the paper titled "Self Contrastive Learning for Session-based Recommendation"

recommendation-system recommender-system cold-start recommendation representation-learning contrastive-predictive-coding session-based-recommendation-system session-based-recommendation contrastive-learning

Updated Apr 3, 2024
Python

A session-based recommendation system to recommend baby products on Amazon using 4 models namely ITEMKNN, POP, GRU4Rec, and STAMP, STAMP performs the best in all accuracy metrics followed by GRU4Rec. We also did result analysis, including ranking accuracy, coverage, popularity.

amazon-dataset session-based-recommendation