Gated Graph Sequence Neural Networks

A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)

Google多任务模型MMoE

RSTutorials: A Curated List of Must-read Papers on Recommender System.

⭐ 本科毕业设计：基于内容的音乐推荐系统设计与开发。使用了Pytorch框架构建训练模型代码，使用Django构建了前后端。

GNN in Recommendation System (ACM Computing Surveys 2022)

Implementation of Graph Auto-Encoders in TensorFlow

A PyTorch implementation of Neural Attentive Session Based Recommendation (NARM)

Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems

Python Implementation of Probabilistic Matrix Factorization(PMF) Algorithm for building a recommendation system using MovieLens ml-100k | GroupLens dataset

This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

An implementation trying to reproduce "Graph contextualized self-attention network for session-based recommendation" based on SR-GNN code.

[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"

Neural Graph Collaborative Filtering, SIGIR2019

推荐系统/计算广告相关仓库，个人博客https://jesse-csj.github.io/

ccf2016 sougou final winner solution

Sequential deep matching model for recommender system at Alibaba

Codes repository for RecSys and DeepLearnig, RecSys and ReinForcement learning and Traditioinal RecSys.

tensorflow实战练习，包括强化学习、推荐系统、nlp等

随机森林，Random Forest（RF）