sisinflab / amlrecsys-tutorial
Tutorial by Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia and Felice Antonio Merra about Adversarial Machine Learning in Recommender Systems
☆25Updated 4 years ago
Alternatives and similar repositories for amlrecsys-tutorial:
Users that are interested in amlrecsys-tutorial are comparing it to the libraries listed below
- This is our official implementation for the paper: Jinhui Tang, Xiaoyu Du, Xiangnan He, Fajie Yuan, Qi Tian, and Tat-Seng Chua, Adversar…☆34Updated 6 years ago
- Code for the SIGIR20 paper -- Measuring and Mitigating Item Under-Recommendation Bias inPersonalized Ranking Systems☆15Updated 4 years ago
- This is the implementation code for the WWW2021 paper "Variation Control and Evaluation for Generative Slate Recommendation"☆13Updated 3 years ago
- ☆31Updated 4 years ago
- WWW'2019: Modeling Item-Specific Temporal Dynamics of Repeat Consumption for Recommender Systems☆35Updated 5 years ago
- ☆24Updated 3 years ago
- Code for the KDD21 paper -- Popularity Bias in Dynamic Recommendation☆17Updated 3 years ago
- Code for "Sequential Recommendation for Cold-start Users with Meta Transitional Learning" (SIGIR2021)☆21Updated 3 years ago
- SIGIR'21, EXTRA: Explanation Ranking Datasets for Explainable Recommendation☆31Updated 2 months ago
- Explainable recommendation via interpretable feature mapping☆18Updated 4 years ago
- CIKM'20, Generate Neural Template Explanations for Recommendation☆22Updated 2 months ago
- [ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering☆41Updated 3 years ago
- Content-aware Neural Hashing for Cold-start Recommendation. SIGIR 2020☆19Updated 4 years ago
- ☆70Updated 5 years ago
- sisinflab / Reenvisioning-the-comparison-between-Neural-Collaborative-Filtering-and-Matrix-Factorization☆21Updated 3 years ago
- Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms☆32Updated 3 years ago
- ☆22Updated 2 years ago
- Multi-order Attentive Ranking Model for Sequential Recommendation☆26Updated 5 years ago
- SCoRe is a sequential recommendation model with dual side neighbor-based collaborative filtering. Implementation of our WSDM 2020 paper.☆17Updated 5 years ago
- A PyTorch implementation for the Recsys 2020 paper: Revisiting Adversarially Learned Injection Attacks Against Recommender Systems☆23Updated 3 years ago
- Scalable Recommendation Algorithms☆33Updated 5 years ago
- Pre-training and Transfer learning papers for recommendation☆18Updated last year
- This is the repository for our WSDM 2020 publication: Interpretable Click-through Rate Prediction through Hierarchical Attention☆40Updated 5 years ago
- ☆41Updated 5 years ago
- ☆8Updated 3 years ago
- This is a pytorch (>=1.3.0) implementation of RepeatNet☆35Updated 5 years ago
- [ WSDM '22 ] On Sampling Collaborative Filtering Datasets☆20Updated 3 years ago
- ☆32Updated 2 years ago
- ☆28Updated 3 years ago
- This repository is the implementation of "A Review-Driven Neural Model for Sequential Recommendation", Chenliang Li, Xichuan Niu, Xiangya…☆15Updated 2 years ago