Qiong's repositories
recommenders
Best Practices on Recommendation Systems
Ai-Learn
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
CARP
The implementation of “A Capsule Network for Recommendation and Explaining What You Like and Dislike”, Chenliang Li, Cong Quan, Li Peng, Yunwei Qi, Yuming Deng, Libing Wu, https://dl.acm.org/citation.cfm?doid=3331184.3331216
cornac
A Comparative Framework for Multimodal Recommender Systems
DeepRec
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
FIA-KDD-19
Source code for our paper "Incorporating Interpretability into Latent Factor Models via Fast Influence Analysis" in KDD'19
fork_knowledge_graph_attention_network
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
KG-Reasoning-Paper-list
Some papers of top references in recent years
mrg
Code of the paper "Multimodal Review Generation for Recommender Systems", WWW'19
MTER
Explainable Recommendation via Multi-Task Learning in Opinionated Text Data
NETE
CIKM'20, Generate Neural Template Explanations for Recommendation
NRT-theano
Code for our SIGIR'2017 paper "Neural Rating Regression with Abstractive Tips Generation for Recommendation"
PETER
ACL'21, Personalized Transformer for Explainable Recommendation
PGPR
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
Review-Generation
Explainable recommendation with review generation based on MRG.
RippleNet
A tensorflow implementation of RippleNet
RSPapers
A Curated List of Must-read Papers on Recommender System.
SAER
Explanation as a Defense of Recommendation (WSDM '21)
Sentires
Sentires: A Toolkit for Phrase-level Sentiment Analysis
SR-GNN
[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"
SupContrast
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
TheFacT
SIGIR19' The FacT: Taming Latent Factor Models for Explainability with Factorization Trees
yuanweishengjiyuan-code-keshe
课设-源味生机园-代码