WeiyuCheng / FIA-KDD-19
Source code for our paper "Incorporating Interpretability into Latent Factor Models via Fast Influence Analysis" in KDD'19
☆14Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for FIA-KDD-19
- ☆40Updated 5 years ago
- This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorf…☆96Updated last year
- Our implementation of neurips'20 paper "Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering"☆34Updated last year
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆42Updated last year
- Code for the SIGIR20 paper -- Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation☆38Updated 4 years ago
- Research works on different versions of IntentGC and several state-of-the-art algorithms on public amazon data☆53Updated 5 years ago
- code for KDD paper Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation☆22Updated 4 years ago
- The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)☆149Updated 5 months ago
- [TKDE 2021] Source code and datasets for the paper "Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recomm…☆82Updated 6 months ago
- Explainable Recommendation via Multi-Task Learning in Opinionated Text Data☆39Updated 2 years ago
- Experiments codes for RecSys '21 paper "Mitigating Confounding Bias in Recommendation via Information Bottleneck"☆19Updated 2 years ago
- Tensorflow implementation of RCF☆48Updated 5 years ago
- This is our official implementation for the paper: Jinhui Tang, Xiaoyu Du, Xiangnan He, Fajie Yuan, Qi Tian, and Tat-Seng Chua, Adversar…☆33Updated 5 years ago
- This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.☆104Updated 2 years ago
- ☆60Updated 5 years ago
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆74Updated 3 years ago
- ☆70Updated 4 years ago
- ☆10Updated 4 years ago
- TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21☆24Updated last year
- Deconfounded Recommendation for Alleviating Bias Amplification☆45Updated 3 years ago
- Code for GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation (SIGIR 2020)☆45Updated last year
- Sequential sets to sequential sets learning☆31Updated 2 years ago
- Code for Next-item Recommendation with Sequential Hypergraph (SIGIR2020)☆58Updated 3 years ago
- A Generic Network Compression Framework for Sequential Recommender Systems☆19Updated 4 years ago
- The code for paper MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation☆53Updated 4 years ago
- Source codes for our AAAI'20 paper: Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions☆38Updated 4 years ago
- SIGIR'21, EXTRA: Explanation Ranking Datasets for Explainable Recommendation☆32Updated 2 years ago
- ☆32Updated 2 years ago
- Counterfactual Explainable Recommendation☆47Updated 2 years ago