guoyang9 / NFM-pyorchLinks
A pytorch implementation for He et al. Neural Factorization Machines for Sparse Predictive Analytics on SIGIR 2017.
☆38Updated 6 years ago
Alternatives and similar repositories for NFM-pyorch
Users that are interested in NFM-pyorch are comparing it to the libraries listed below
Sorting:
- A toy implementation of Neural Graph Collaborative filtering☆87Updated 5 years ago
- Hierarchical Gating Networks for Sequential Recommendation☆140Updated 3 years ago
- This is our implementation of EHCF: Efficient Heterogeneous Collaborative Filtering (AAAI 2020)☆106Updated 5 years ago
- A PyTorch implementation of Convolutional Sequence Embedding Recommendation Model (Caser)☆271Updated 4 years ago
- A demo code of KDD2020 paper "M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems"☆97Updated 5 years ago
- Codes for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"☆100Updated 5 years ago
- ☆133Updated 7 years ago
- This is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of exist…☆153Updated 4 years ago
- Code for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"☆260Updated 4 years ago
- ☆180Updated 5 years ago
- Codes and Datasets for paper RecSys'20 "SSE-PT: Sequential Recommendation Via Personalized Transformer" and NurIPS'19 "Stochastic Shared …☆111Updated 4 years ago
- Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"☆297Updated 3 years ago
- Code for the KDD 2018 paper: STAMP: Short-Term Attention/Memory Priority Model for Session-based Recommendation☆139Updated 6 years ago
- ☆74Updated 5 years ago
- Resources for the paper "NPA: News Recommendation with Personalized Attention"☆47Updated 2 years ago
- This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorf…☆105Updated 2 years ago
- Source code for KDD 2018 paper "Leverage Meta-path based Context for Top-N Recommendation with a Neural Co-Attention Model"☆127Updated 5 years ago
- PyTorch Implementation of Deep Interest Network for Click-Through Rate Prediction☆74Updated 5 years ago
- The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)☆156Updated last year
- A PyTorch implementation of Neural Attentive Session Based Recommendation (NARM)☆107Updated 2 years ago
- Attentive Group Recommendation☆135Updated 4 years ago
- MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction☆77Updated 4 years ago
- Disentagnled Graph Collaborative Filtering, SIGIR2020☆141Updated 5 years ago
- An other implementation of GRU4REC using PyTorch☆249Updated 4 years ago
- This is our implementation of NARRE:Neural Attentional Regression with Review-level Explanations☆108Updated 7 years ago
- The code for paper MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation☆53Updated 5 years ago
- TensorFlow implementation for paper Time Interval Aware Self-Attention for Sequential Recommendation.☆128Updated 4 years ago
- UBR4CTR is the code for our proposed User Behavior Retrieval for CTR Prediction framework in SIGIR 2020.☆79Updated 4 years ago
- Code for the SIGIR20 paper -- Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation☆44Updated 5 years ago
- Sequential Recommender System based on Hierarchical Attention Network☆71Updated 7 years ago