Session Based Recommendation system Using Graph Neural Network

PyTorch implementation of GRU4Rec, SQN and SMORL with evaluation framework covering Hit-Ratio, NDCG, Novelty, Diversity and Repetitiveness metrics for top-k recommendations.

Information for recommendation system research

A Tensorflow implementation of Session-based Recommendation with Simplified Graph Neural Networks

A large-scale datasets for session-based recommendation and sequential recommendation

published at AAAI 2022

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: Transition Information Enhanced Disentangled Graph Neural Networks for Session-based Recommendation

DataSets links for recommender systems research, in particular for transfer learning, user representation, pre-training,lifelong learning, cold start recommendation

This is the code for the Paper: 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))

Papers about recommendation systems that I am interested in