Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
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Updated
May 14, 2024 - Python
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
[SIGIR 2020] Python implementation for "TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation"
[ECIR 2024] Official repository for the paper titled "Self Contrastive Learning for Session-based Recommendation"
Amazon KDD Cup '23: Multilingual Recommendation Challenge
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.
Code for 2022 Applied Science Special Issue "Logit Averaging: Capturing Global Relation for Session-based Recommendation"
Session-based Recommendation
This repository contains my summaries of various academic papers I have read.
PyTorch Implementation of Introducing Self-Attention to Target Attentive Graph Neural Networks (AISP '22)
[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"
Recommender Systems Paperlist that I am interested in
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