RUCAIBox / Negative-Sampling-PaperLinks
This repository collects 100 papers related to negative sampling methods.
☆198Updated 2 years ago
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- [KDD'22] Official PyTorch implementation for "Towards Universal Sequence Representation Learning for Recommender Systems".☆195Updated last year
- ☆259Updated last year
- Code for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"☆260Updated 4 years ago
- This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorf…☆105Updated 2 years ago
- A box of core libraries for recommendation model development☆90Updated 11 months ago
- TOIS'23, Personalized Prompt Learning for Explainable Recommendation☆131Updated 7 months ago
- This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.☆108Updated 3 years ago
- Paper List for Recommend-system PreTrained Models☆343Updated last year
- An up-to-date, comprehensive and flexible recommendation library☆212Updated last year
- MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.☆329Updated 2 years ago
- KwaiRec: A Fully-observed Dataset for Recommender Systems.☆166Updated 8 months ago
- Download and preprocess popular sequential recommendation datasets☆213Updated 2 years ago
- The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)☆156Updated last year
- Our implementation of neurips'20 paper "Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering"☆35Updated 2 years ago
- A highly-modularized and recommendation-efficient recommendation library based on PyTorch.☆194Updated 7 months ago
- ☆108Updated 4 months ago
- An unofficial pytorch implementation of MELU☆46Updated last year
- The official implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)☆81Updated 3 years ago
- ☆54Updated 11 months ago
- LibRerank is a toolkit for re-ranking algorithms. There are a number of re-ranking algorithms, such as PRM, DLCM, GSF, miDNN, SetRank, EG…☆262Updated 3 years ago
- This is the official implementation of our paper Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR), whi…☆138Updated 2 years ago
- BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS☆378Updated 10 months ago
- ☆173Updated 3 years ago
- An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos☆99Updated 8 months ago
- The code of CL4CTR☆48Updated 2 years ago
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- The code of GDCN☆42Updated last year
- The latest research progress of Contrastive Learning(CL), Data Augmentation(DA) and Self-Supervised Learning(SSL) in Recommender Systems☆416Updated 2 weeks ago
- Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.☆110Updated 3 years ago
- Efficient and extensible GNNs enhanced recommender library based on RecBole.☆184Updated last year