chenlongzhen / wide-and-deepLinks
☆18Updated 7 years ago
Alternatives and similar repositories for wide-and-deep
Users that are interested in wide-and-deep are comparing it to the libraries listed below
Sorting:
- Deep neural network model based on the tree☆49Updated 6 years ago
- Basic Deep Learning☆36Updated 6 years ago
- Sequential deep matching model for recommender system at Alibaba☆209Updated 5 years ago
- Deep Match to Rank Model for Personalized Click-Through Rate Prediction☆237Updated 5 years ago
- it's the realization of Tree-based Deep Model with tensorflow☆32Updated 5 years ago
- Deep Matching, Correlation and Prediction (DeepMCP) Model☆124Updated 5 years ago
- Tensorflow implementation for Interaction-aware factorization machines☆50Updated 6 years ago
- Deep Spatio-Temporal Neural Network (DSTN)☆166Updated 4 years ago
- Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"☆140Updated 6 years ago
- using FM latent vectors as embedding features☆14Updated 8 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 5 years ago
- ☆91Updated 7 years ago
- Attention,Factorization Machine, Deep Learning, Recommender System☆39Updated 7 years ago
- Deep Feedback Network for Recommendation☆96Updated 5 years ago
- Collaborative Memory Network for Recommendation Systems, SIGIR 2018☆179Updated 4 years ago
- Classical RecSys algorithms implemented by using TensorFlow Estimators☆184Updated 7 years ago
- DHAN code for SIGIR 2020☆45Updated 5 years ago
- AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction☆184Updated 4 years ago
- ☆61Updated last year
- a tensorflow implement of MIND (Multi-interest network) recall model☆38Updated 5 years ago
- ☆291Updated 6 years ago
- Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction☆227Updated 4 years ago
- Factorization Machines implementation with Tensorflow☆142Updated 6 years ago
- ☆36Updated 5 years ago
- Multi-thread implementation of lambdaFM with FTRL for ranking problem. LambdaFM is a learning-to-rank algorithm by combining LambdaRank a…☆110Updated 4 years ago
- ☆43Updated 5 years ago
- A Tensorflow implementation of the Deep Listwise Context Model (DLCM) for ranking refinement.☆136Updated 2 years ago
- ☆212Updated 9 months ago
- Code for paper 'Exact-K Recommendation via Maximal Clique Optimization'☆79Updated 5 years ago
- Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020☆115Updated 4 years ago