session-based-recommendation-system
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Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"
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May 23, 2023 - Python
Papers about recommendation systems that I am interested in
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Mar 17, 2020
Generative model for sequential recommendation based on Convolution Neural Networks (CNN))
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Mar 28, 2024 - Python
A PyTorch implementation of Neural Attentive Session Based Recommendation (NARM)
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Dec 8, 2022 - Python
Session-based Recommendation
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Jun 20, 2024 - Python
The 4th Place Solution to the 2019 ACM Recsys Challenge by Team RosettaAI
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Dec 18, 2019 - Python
source code of paper "Positive, Negative and Neutral: Modeling Implicit Feedback in Session-based News Recommendation", which is accepted at SIGIR 2022.
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Oct 20, 2022 - Python
[ECIR 2024] Official repository for the paper titled "Self Contrastive Learning for Session-based Recommendation"
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Apr 3, 2024 - Python
This is the code for the Paper: Disentangled Graph Neural Networks for Session-based Recommendation
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Apr 6, 2022 - Python
Sequence-to-Sequence Generative Model for Sequential Recommender System
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Mar 25, 2024 - Python
DataSets links for recommender systems research, in particular for transfer learning, user representation, pre-training,lifelong learning, cold start recommendation
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Feb 26, 2024
This is the code for the Paper: Transition Information Enhanced Disentangled Graph Neural Networks for Session-based Recommendation
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Apr 6, 2022 - Python
[Tutorial] - Applying Word2Vec technique to Recommendation System a.k.a Item2Vec a.k.a Prod2Vec
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Jun 11, 2021 - Python
Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"
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May 24, 2019 - Python
Implementation of Basic Recommendation System Models with PyTorch
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Jan 18, 2024 - Python
published at AAAI 2022
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Dec 13, 2021
A large-scale datasets for session-based recommendation and sequential recommendation
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Nov 11, 2021
A Tensorflow implementation of Session-based Recommendation with Simplified Graph Neural Networks
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Nov 17, 2021 - Python
CONTRAST, a novel architecture designed to enhance session-based recommendation by incorporating memory-efficient sparse operations, attention guided graph convolution, and contrastive learning techniques.
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May 11, 2025 - Jupyter Notebook
Revisiting the Performance of GNN Models for Session-based Recommendation
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Apr 22, 2025 - Python
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