hcai-mms / ProtoMF
This repository hosts the code and the additional materials for the paper "ProtoMF: Prototype-based Matrix Factorization for Effective and Explainable Recommendations" by Alessandro B. Melchiorre, Navid Rekabsaz, Christian Ganhör, and Markus Schedl at RecSys 2022.
☆10Updated last year
Related projects ⓘ
Alternatives and complementary repositories for ProtoMF
- This repository hosts the code and the additional materials for the paper "ProtoMF: Prototype-based Matrix Factorization for Effective an…☆12Updated last year
- ☆26Updated 3 years ago
- yuan-pku / Distilling-Structured-Knowledge-into-Embeddings-for-Explainable-and-Accurate-Recommendation☆15Updated 4 years ago
- Benchmarking of Session-based Recommendation Approaches☆30Updated 4 years ago
- Repo for paper Basket Recommendation with Multi-Intent Translation Graph Neural Network☆16Updated 3 years ago
- A link to repositories with datasets useful for recommendation tasks☆19Updated last year
- Code for the SIGIR20 paper -- Measuring and Mitigating Item Under-Recommendation Bias inPersonalized Ranking Systems☆15Updated 4 years ago
- ☆44Updated 2 years ago
- This is an implementation for our SIGIR 2023 paper "Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendat…☆9Updated last year
- This is an implementation for our SIGIR 2020 paper: How to Retrain Recommender System? A Sequential Meta-Learning Method.☆45Updated last year
- Tutorial by Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia and Felice Antonio Merra about Adversarial Machine Learning in Recommende…☆25Updated 3 years ago
- Accepted as reproducibility paper at RecSys 2023.☆15Updated 10 months ago
- Post Processing Explanations Paths in Path Reasoning Recommender Systems with Knowledge Graphs☆29Updated last year
- (WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"☆30Updated 2 years ago
- Code for "Sequential Recommendation for Cold-start Users with Meta Transitional Learning" (SIGIR2021)☆20Updated 2 years ago
- Explainable recommendation via interpretable feature mapping☆18Updated 4 years ago
- [ WSDM '22 ] On Sampling Collaborative Filtering Datasets☆20Updated 2 years ago
- TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21☆24Updated last year
- source code of paper "Positive, Negative and Neutral: Modeling Implicit Feedback in Session-based News Recommendation", which is accepted…☆31Updated 2 years ago
- (ICTIR2020) "Unbiased Pairwise Learning from Biased Implicit Feedback"☆19Updated 2 years ago
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆42Updated last year
- Official code of "Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering" (2022 NeurIPS)☆22Updated last year
- ☆9Updated 2 years ago
- Counterfactual Explainable Recommendation☆48Updated 2 years ago
- Cafe: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation☆32Updated 3 years ago
- ☆31Updated 7 months ago
- (SIGIR2020) “Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback’’☆22Updated 2 years ago
- ☆57Updated 6 months ago
- This repository contains the code used to run generate the data splits, run the hyperparameter tunings, and export the results presented …☆12Updated 2 years ago
- ☆9Updated last year