hexiangnan / neural_factorization_machine
TenforFlow Implementation of Neural Factorization Machine
☆471Updated 5 years ago
Alternatives and similar repositories for neural_factorization_machine
Users that are interested in neural_factorization_machine are comparing it to the libraries listed below
Sorting:
- TensorFlow Implementation of Attentional Factorization Machine☆407Updated 6 years ago
- ☆746Updated 5 years ago
- Some deep learning based recsys for open learning.☆398Updated 6 years ago
- An Attention-Based User Behavior Modeling Framework for Recommendation☆362Updated 4 years ago
- Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"☆443Updated last year
- The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc☆756Updated 7 years ago
- ☆289Updated 5 years ago
- Tensorflow implementation of Product-based Neural Networks. An extended version is at https://github.com/Atomu2014/product-nets-distribut…☆375Updated 5 years ago
- Deep Match to Rank Model for Personalized Click-Through Rate Prediction☆236Updated 5 years ago
- TensorFlow implemenation of GRu4Rec model☆218Updated 5 years ago
- TensorFlow Script☆684Updated last year
- ☆1,162Updated 6 years ago
- code of paper `Deep Neural Networks for Youtube Recommendation`☆409Updated 8 years ago
- Sequential deep matching model for recommender system at Alibaba☆207Updated 4 years ago
- Implements of Awesome RecSystem Models with PyTorch/TF2.0☆257Updated 5 years ago
- Implementation of AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks☆204Updated 5 years ago
- CTR prediction using FM FFM and DeepFM☆751Updated 6 years ago
- Wide and Deep Learning for CTR Prediction in tensorflow☆290Updated 3 years ago
- A PyTorch implementation of DeepFM for CTR prediction problem.☆391Updated 3 years ago
- Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"☆141Updated 6 years ago
- GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, p…☆778Updated last year
- Implementation of the "Deep Matrix Factorization Models for Recommender Systems"☆208Updated 6 years ago
- ☆396Updated last month
- An attempt of training DNN models to predict ad click-through rate, implemented with Theano.☆407Updated 7 years ago
- Tensorflow implementations of various Learning to Rank (LTR) algorithms.☆230Updated 6 years ago
- Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction☆217Updated 3 years ago
- ☆1,666Updated 4 years ago
- Deep Spatio-Temporal Neural Network (DSTN)☆168Updated 3 years ago
- An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.☆1,152Updated 2 years ago
- Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"☆294Updated 3 years ago