yuan-pku / Distilling-Structured-Knowledge-into-Embeddings-for-Explainable-and-Accurate-RecommendationLinks
☆16Updated 5 years ago
Alternatives and similar repositories for Distilling-Structured-Knowledge-into-Embeddings-for-Explainable-and-Accurate-Recommendation
Users that are interested in Distilling-Structured-Knowledge-into-Embeddings-for-Explainable-and-Accurate-Recommendation are comparing it to the libraries listed below
Sorting:
- Counterfactual Explainable Recommendation☆50Updated 4 years ago
- Codes for papers: 1. Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters (ICML). 2. Less is More: Explorin…☆78Updated 2 years ago
- DE-RRD: A Knowledge Distillation Framework for Recommender System (CIKM'20)☆30Updated 2 years ago
- Dataset citeulike-a for 'Collaborative Topic Regression with Social Regularization' (CTRSR)☆45Updated 4 years ago
- Cafe: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation☆34Updated 4 years ago
- Code for Next-item Recommendation with Sequential Hypergraph (SIGIR2020)☆59Updated 5 years ago
- User-oriented Fairness in Recommendation☆29Updated 4 years ago
- CIKM'20, Generate Neural Template Explanations for Recommendation☆23Updated last year
- A Generic Network Compression Framework for Sequential Recommender Systems☆19Updated 5 years ago
- Bidirectional Distillation for Top-K Recommender System (WWW 2021)☆14Updated 3 years ago
- [TKDE 2021] Source code and datasets for the paper "Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recomm…☆84Updated last year
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆44Updated 2 years ago
- SIGIR'21, EXTRA: Explanation Ranking Datasets for Explainable Recommendation☆32Updated last year
- ☆70Updated 5 years ago
- ☆41Updated 6 years ago
- Deconfounded Recommendation for Alleviating Bias Amplification☆46Updated 4 years ago
- Our implementation of neurips'20 paper "Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering"☆35Updated 3 years ago
- Code for the SIGIR20 paper -- Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation☆44Updated 5 years ago
- code for ‘Towards Long-term Fairness in Recommendation’☆23Updated 2 years ago
- Adaptive Denoising Training (ADT) for Recommendation.☆75Updated 3 years ago
- [ SIGIR '20 ] How Useful are Reviews for Recommendation? A Critical Review and Potential Improvements☆56Updated 3 years ago
- ☆33Updated 4 years ago
- Source code for KDD 2020 paper "Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation"☆126Updated 3 years ago
- A curator of Sequential Recommendation algorithms☆20Updated 5 years ago
- Code for "Sequential Recommendation for Cold-start Users with Meta Transitional Learning" (SIGIR2021)☆21Updated 4 years ago
- A quick guide to Sentires: Phrase-level Sentiment Analysis toolkit, SIGIR'14☆37Updated last year
- Handling Information Loss of Graph Neural Networks for Session-based Recommendation☆68Updated 3 years ago
- The source code and dataset for the RecGURU paper (WSDM 2022)☆29Updated 3 years ago
- Incorporating User Micro-behaviors and Item Knowledge 59 60 3 into Multi-task Learning for Session-based Recommendation☆45Updated 5 years ago
- The implementation of "Cross-Domain Recommendation via Preference Propagation GraphNet“, Cheng Zhao, Chenliang Li, Cong Fu, https://doi.o…☆27Updated 3 years ago