deezer / semi_perso_user_cold_start
Source code from the KDD 2021 article "A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps" by L. Briand, G. Salha-Galvan, W. Bendada, M. Morlon and V.A. Tran
☆50Updated 3 years ago
Alternatives and similar repositories for semi_perso_user_cold_start:
Users that are interested in semi_perso_user_cold_start are comparing it to the libraries listed below
- A PyTorch implementation of Neural Attentive Session Based Recommendation (NARM)☆106Updated 2 years ago
- Code for the SIGIR20 paper -- Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation☆41Updated 4 years ago
- [ICDMW 2020] Code and dataset for "DGTN: Dual-channel Graph Transition Network for Session-based Recommendation"☆30Updated 3 years ago
- Benchmarking of Session-based Recommendation Approaches☆30Updated 4 years ago
- data and code of AttList from CIKM2019☆22Updated 5 years ago
- [SIGIR 2020] Python implementation for "TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation"☆54Updated 10 months ago
- STAN implementation according to paper 'Sequence and Time Aware Neighborhood for Session-based Recommendations'☆21Updated 5 years ago
- This is a pytorch (>=1.3.0) implementation of RepeatNet☆35Updated 5 years ago
- PyTorch implementation GRU4Rec model☆15Updated 4 years ago
- Code for Paper: CFKG: Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation (KBE4ER)☆52Updated 4 years ago
- TensorFlow implementation for paper Time Interval Aware Self-Attention for Sequential Recommendation.☆124Updated 4 years ago
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆42Updated last year
- Code to reproduce paper "Exploring Longitudinal Effects of Session-based Recommendations" in RecSys 2020☆15Updated 2 years ago
- Codes and Datasets for paper RecSys'20 "SSE-PT: Sequential Recommendation Via Personalized Transformer" and NurIPS'19 "Stochastic Shared …☆110Updated 4 years ago
- Several sequential recommended models implemented by tenosrflow1.x☆117Updated 3 years ago
- Code for the RecSys'20 paper "TAFA: Two-headed Attention Fused Autoencoder for Context-Aware Recommendations"☆19Updated 4 years ago
- [ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering☆41Updated 3 years ago
- source code of paper "Positive, Negative and Neutral: Modeling Implicit Feedback in Session-based News Recommendation", which is accepted…☆30Updated 2 years ago
- Code for the paper "Bilateral Variational Autoencoder for Collaborative Filtering", WSDM'21☆34Updated last year
- Contrastive Learning for Cold-start Recommendation☆66Updated 3 years ago
- Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction☆21Updated 4 years ago
- Released code of SIGIR2021 Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.☆50Updated 3 years ago
- RecBole-Debias is a toolkit built upon RecBole for reproducing and developing debiased recommendation algorithms.☆39Updated 2 years ago
- A Collaborative Session-based Recommendation Approach with Parallel Memory Modules, SIGIR 2019☆28Updated 5 years ago
- [TKDE 2021] Source code and datasets for the paper "Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recomm…☆82Updated 10 months ago
- ☆57Updated 10 months ago
- Incorporating User Micro-behaviors and Item Knowledge 59 60 3 into Multi-task Learning for Session-based Recommendation☆45Updated 4 years ago
- Bayesian Personalized Ranking using PyTorch☆134Updated 2 years ago
- The implementation of "Correlation-Sensitive Next-Basket Recommendation"", published in IJCAI'19☆31Updated 5 years ago
- ☆63Updated last year