THUDM / KDD-Industrial-PapersLinks
A list of recent industrial papers in KDD'16–'18
☆27Updated 6 years ago
Alternatives and similar repositories for KDD-Industrial-Papers
Users that are interested in KDD-Industrial-Papers are comparing it to the libraries listed below
Sorting:
- Knowledge-aware recommendation papers.☆81Updated 5 years ago
- Dynamic Fair Rankings☆87Updated 2 years ago
- Lifelong sequential modeling for user response prediction. A comprehensive evaluation framework for our SIGIR 2019 paper.☆101Updated 4 years ago
- Daily reading group on graphs at KEG☆44Updated 6 years ago
- Research works on different versions of IntentGC and several state-of-the-art algorithms on public amazon data☆54Updated 6 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
- ☆41Updated 6 years ago
- KDD17_FMG☆139Updated 5 years ago
- Source code and dataset for KDD 2019 paper "Sequential Scenario-Specific Meta Learner for Online Recommendation"☆81Updated last year
- ☆61Updated last year
- KDD CUP 2020 Automatic Graph Representation Learning: 1st Place Solution☆98Updated 4 years ago
- TEM: Tree-enhanced Embedding Model for Explainable Recommendation, WWW2018☆76Updated 6 years ago
- Code for paper 'Exact-K Recommendation via Maximal Clique Optimization'☆79Updated 5 years ago
- KDD2019-Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation☆189Updated 3 years ago
- [WIP] an implement of PinSage recommender system☆63Updated 5 years ago
- ☆71Updated 5 years ago
- ☆59Updated 6 years ago
- Knowledge-enhanced Neighborhood Interaction model for recommendation☆62Updated 5 years ago
- Source code for ACL 2020 paper “Graph Neural News Recommendation with Unsupervised Preference Disentanglement”☆61Updated 4 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)☆90Updated 5 years ago
- ☆82Updated 6 years ago
- Code for the paper "ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance" (SIGIR2020)☆58Updated 5 years ago
- Paper list of NLP for recommender systems☆229Updated 5 years ago
- Generative model for sequential recommendation based on Convolution Neural Networks (CNN))☆111Updated last year
- Codes for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"☆101Updated 5 years ago
- Pytorch implementation of λOpt: Learn to Regularize Recommender Models in Finer Levels, KDD 2019☆53Updated 5 years ago
- UBR4CTR is the code for our proposed User Behavior Retrieval for CTR Prediction framework in SIGIR 2020.☆79Updated 4 years ago
- ☆64Updated 4 years ago
- Source code for KDD 2018 paper "Leverage Meta-path based Context for Top-N Recommendation with a Neural Co-Attention Model"☆127Updated 5 years ago
- A Tensorflow implementation of the Deep Listwise Context Model (DLCM) for ranking refinement.☆137Updated 2 years ago