Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"
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Updated
May 24, 2019 - Python
Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"
The 4th Place Solution to the 2019 ACM Recsys Challenge by Team RosettaAI
Papers about recommendation systems that I am interested in
Information for recommendation system research
[Tutorial] - Applying Word2Vec technique to Recommendation System a.k.a Item2Vec a.k.a Prod2Vec
A large-scale datasets for session-based recommendation and sequential recommendation
A Tensorflow implementation of Session-based Recommendation with Simplified Graph Neural Networks
published at AAAI 2022
This is the code for the Paper: Transition Information Enhanced Disentangled Graph Neural Networks for Session-based Recommendation
This is the code for the Paper: Disentangled Graph Neural Networks 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.
A PyTorch implementation of Neural Attentive Session Based Recommendation (NARM)
Session Based Recommendation system Using Graph Neural Network
Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"
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
Implementation of Basic Recommendation System Models with PyTorch
DataSets links for recommender systems research, in particular for transfer learning, user representation, pre-training,lifelong learning, cold start recommendation
Sequence-to-Sequence Generative Model for Sequential Recommender System
Generative model for sequential recommendation based on Convolution Neural Networks (CNN))
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