PyTorch implementation of GRU4Rec, SQN and SMORL with evaluation framework covering Hit-Ratio, NDCG, Novelty, Diversity and Repetitiveness metrics for top-k recommendations.
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Updated
Jul 14, 2023 - Python
PyTorch implementation of GRU4Rec, SQN and SMORL with evaluation framework covering Hit-Ratio, NDCG, Novelty, Diversity and Repetitiveness metrics for top-k recommendations.
A set of session-based recommenders
A Tensorflow implementation of Session-based Recommendation with Simplified Graph Neural Networks
Implementation of Basic Recommendation System Models with PyTorch
Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"
[Tutorial] - Applying Word2Vec technique to Recommendation System a.k.a Item2Vec a.k.a Prod2Vec
This is the code for the Paper: Disentangled Graph Neural Networks for Session-based Recommendation
This is the code for the Paper: Transition Information Enhanced Disentangled Graph Neural Networks for Session-based Recommendation
Sequence-to-Sequence Generative Model for Sequential Recommender System
[ECIR 2024] Official repository for the paper titled "Self Contrastive Learning for Session-based Recommendation"
source code of paper "Positive, Negative and Neutral: Modeling Implicit Feedback in Session-based News Recommendation", which is accepted at SIGIR 2022.
The 4th Place Solution to the 2019 ACM Recsys Challenge by Team RosettaAI
Session-based Recommendation
A PyTorch implementation of Neural Attentive Session Based Recommendation (NARM)
Generative model for sequential recommendation based on Convolution Neural Networks (CNN))
Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"
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