zenwan / Wide-and-Deep-PyTorchLinks
PyTorch implementation of Tensorflow's Wide and Deep Algorithm
☆31Updated 8 years ago
Alternatives and similar repositories for Wide-and-Deep-PyTorch
Users that are interested in Wide-and-Deep-PyTorch are comparing it to the libraries listed below
Sorting:
- This repository collects 100 papers related to negative sampling methods.☆197Updated 2 years ago
- An Efficient and Unified Benchmark for GNN-based Recommendation.☆79Updated 2 years ago
- This repo includes some graph-based CTR prediction models and other representative baselines.☆69Updated last year
- Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020☆114Updated 5 years ago
- PyTorch implementation of Entire Space Multitask Model (ESMM)☆42Updated 3 years ago
- The implementation of SIGIR 2020 paper "CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network“, Cheng Zhao,…☆48Updated 5 years ago
- The paper list under Sequential Recommendation task☆14Updated 5 years ago
- Here are the models listed in CTR. Example: FM、DeepFM、xDeepFM etc.☆68Updated last year
- [WIP] an implement of PinSage recommender system☆64Updated 5 years ago
- Must-read papers on Recommender System. 推荐系统相关论文整理(内含40篇论文,并持续更新中)☆91Updated 6 years ago
- TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling th…☆120Updated 2 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
- A Toolkit for Neural Review-based Recommendation models with Pytorch.☆176Updated 3 years ago
- [CIKM 2019] Code and dataset for "Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction"☆87Updated last year
- Easy-to-use pytorch-based framework for RecSys models☆40Updated 5 years ago
- The official implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)☆82Updated 3 years ago
- A toy implementation of Neural Graph Collaborative filtering☆87Updated 6 years ago
- [WWW'22] Deep Interest Highlight Network for Click-Through Rate Prediction in Trigger-Induced Recommendation☆22Updated 3 years ago
- Source code for ACL 2020 paper “Graph Neural News Recommendation with Unsupervised Preference Disentanglement”☆61Updated 4 years ago
- Paper and notes of Recommender systems.☆37Updated 5 years ago
- ☆106Updated 3 years ago
- 推荐系统修炼手册☆119Updated 3 years ago
- MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction☆76Updated 4 years ago
- Universal User Representation Pre-training for Cross-domain Recommendation and User Profiling☆206Updated last year
- My implementation of Factorization Machine in PyTorch.☆18Updated 6 years ago
- KDD CUP 2020 Automatic Graph Representation Learning: 1st Place Solution☆99Updated 4 years ago
- A reimplementation of SRGNN.☆50Updated 4 years ago
- KDD2019-Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation☆188Updated 3 years ago
- Implementations of some methods in news recommendation.☆260Updated 3 years ago
- Tutorials about AutoML☆87Updated 3 years ago