ACMRecSys / recsys-datasets
A link to repositories with datasets useful for recommendation tasks
☆20Updated last year
Alternatives and similar repositories for recsys-datasets:
Users that are interested in recsys-datasets are comparing it to the libraries listed below
- Counterfactual Explainable Recommendation☆47Updated 3 years ago
- Adaptive Denoising Training (ADT) for Recommendation.☆69Updated 2 years ago
- Contrastive Self-supervised Sequential Recommendation with Robust Augmentation☆80Updated 2 years ago
- KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering☆67Updated 2 years ago
- Cafe: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation☆32Updated 3 years ago
- ☆33Updated 9 months ago
- RecBole-Debias is a toolkit built upon RecBole for reproducing and developing debiased recommendation algorithms.☆39Updated last year
- Implement Fair Recommendation Model In RecBole☆24Updated last year
- ☆32Updated last year
- code for ‘Towards Long-term Fairness in Recommendation’☆23Updated last year
- Learning Fair Representations for Recommendation: A Graph-based Perspective, WWW2021☆48Updated 3 years ago
- Released code of SIGIR2021 Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.☆51Updated 3 years ago
- Code for "Sequential Recommendation for Cold-start Users with Meta Transitional Learning" (SIGIR2021)☆20Updated 3 years ago
- CIKM'23, Prompt Distillation for Efficient LLM-based Recommendation☆40Updated 5 months ago
- Code for the SIGIR20 paper -- Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation☆40Updated 4 years ago
- ☆56Updated last year
- ☆61Updated last year
- Code for paper "Personalized Counterfactual Fairness in Recommendation" (a.k.a. "Towards Personalized Fairness based on Causal Notion")☆15Updated 3 years ago
- Official code of "Invariant Collaborative Filtering to Popularity Distribution Shift" (2023 WWW)☆20Updated last year
- The official implementation for WWW 2022 paper "A Model-Agnostic Causal Learning Framework for Recommendation using Search Data"☆30Updated last year
- Recommender systems with large language models (Paper list)☆58Updated last year
- [WWW'23] PyTorch implementation for "Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders".☆70Updated last year
- cross-domain recommendation,transfer learning,pre-training,self-supervise learning papers and datasets☆43Updated 9 months ago
- A Survey of Poisoning Attacks and Defenses in Recommender Systems☆32Updated 2 months ago
- Official source code for AAAI 2023 paper: Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation☆59Updated last year
- A unified framework for recommender system attacking☆28Updated 9 months ago
- Official code of "Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering" (2022 NeurIPS)☆22Updated last year
- [SIGIR'22] Official PyTorch implementation for "CORE: Simple and Effective Session-based Recommendation within Consistent Representation …☆37Updated 2 years ago
- User-controllable Recommendation Against Filter Bubbles☆17Updated 2 years ago
- SIGIR'21, EXTRA: Explanation Ranking Datasets for Explainable Recommendation☆31Updated 2 years ago