cstur4 / interaction-aware-factorization-machines
Tensorflow implementation for Interaction-aware factorization machines
☆50Updated 5 years ago
Alternatives and similar repositories for interaction-aware-factorization-machines:
Users that are interested in interaction-aware-factorization-machines are comparing it to the libraries listed below
- Deep Matching, Correlation and Prediction (DeepMCP) Model☆124Updated 4 years ago
- Deep Spatio-Temporal Neural Network (DSTN)☆168Updated 3 years ago
- Attention,Factorization Machine, Deep Learning, Recommender System☆39Updated 6 years ago
- ☆91Updated 7 years ago
- DHAN code for SIGIR 2020☆47Updated 4 years ago
- Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"☆141Updated 6 years ago
- Implementation of the IEEE TII paper titled "Unraveling Metric Vector Spaces withFactorization for Recommendation"☆92Updated 5 years ago
- Jarvis is a toolbox built on top of TensorFlow2.0 that allows developers and researchers to easily build neural networks in TensorFlow, p…☆37Updated 4 years ago
- Deep neural network model based on the tree☆48Updated 5 years ago
- Code for paper 'Exact-K Recommendation via Maximal Clique Optimization'☆79Updated 4 years ago
- ☆83Updated 5 years ago
- Sequential deep matching model for recommender system at Alibaba☆202Updated 4 years ago
- code for the paper "Personalized Context-Aware Re-ranking for E-commerce Recommendation Systems"☆51Updated 6 years ago
- TensorFlow Implementation of Deep Item-based Collaborative Filtering Model for Top-N Recommendation☆100Updated last year
- paper collection for recommendation aspet☆37Updated 3 years ago
- ☆62Updated 5 years ago
- xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems☆130Updated 5 years ago
- LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.☆102Updated last year
- ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) pr…☆103Updated 2 years ago
- Collaborative Memory Network for Recommendation Systems, SIGIR 2018☆181Updated 3 years ago
- TensorFlow Implementation of Neural Attentive Item Similarity Model for Recommendation on TKDE 2018☆147Updated 5 years ago
- Basic Deep Learning☆36Updated 6 years ago
- recommendation system with Youtube Deep Net☆83Updated 6 years ago
- Codes for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"☆98Updated 4 years ago
- A Tensorflow implementation of the Deep Listwise Context Model (DLCM) for ranking refinement.☆136Updated 2 years ago
- Code for the paper "ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance" (SIGIR2020)☆58Updated 4 years ago
- Factorization Machines implementation with Tensorflow☆143Updated 6 years ago
- ☆18Updated 7 years ago
- ☆61Updated 6 months ago
- some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interes…☆71Updated 5 years ago