This repository contains my summaries of various academic papers I have read.
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Updated
Mar 16, 2023
This repository contains my summaries of various academic papers I have read.
Code for 2022 Applied Science Special Issue "Logit Averaging: Capturing Global Relation 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.
[ECIR 2024] Official repository for the paper titled "Self Contrastive Learning for Session-based Recommendation"
PyTorch Implementation of Introducing Self-Attention to Target Attentive Graph Neural Networks (AISP '22)
[SIGIR 2020] Python implementation for "TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation"
Session-based Recommendation
Recommender Systems Paperlist that I am interested in
[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
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