chongminggao / KuaiRand
An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos
☆88Updated 4 months ago
Alternatives and similar repositories for KuaiRand:
Users that are interested in KuaiRand are comparing it to the libraries listed below
- KwaiRec: A Fully-observed Dataset for Recommender Systems.☆151Updated 4 months ago
- This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.☆107Updated 2 years ago
- This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorf…☆104Updated last year
- ☆47Updated 7 months ago
- The official implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)☆75Updated 2 years ago
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆76Updated 3 years ago
- https://github.com/JiachengLi1995/TiSASRec in PyTorch☆89Updated 3 weeks ago
- An index of causal inference based recommendation algorithms (TOIS).☆58Updated last year
- ☆46Updated 3 years ago
- This is a library built upon RecBole for cross-domain recommendation algorithms☆99Updated last year
- ☆118Updated last year
- TensorFlow implementation for paper Time Interval Aware Self-Attention for Sequential Recommendation.☆126Updated 4 years ago
- ☆103Updated 2 years ago
- KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering☆67Updated 2 years ago
- ☆61Updated last year
- This is the official implementation for the paper: "CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System"☆72Updated last year
- ☆22Updated last year
- Code for the SIGIR20 paper -- Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation☆43Updated 5 years ago
- Collaborative Filter by Graph Convolutional Network.☆36Updated 3 years ago
- WWW 2022 "Sequential Recommendation via Stochastic Self-Attention"☆58Updated 3 years ago
- RecBole-Debias is a toolkit built upon RecBole for reproducing and developing debiased recommendation algorithms.☆40Updated 2 years ago
- The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)☆154Updated 11 months ago
- Efficient and extensible GNNs enhanced recommender library based on RecBole.☆185Updated last year
- This is a repo containing recent papers related to temporal (sequential) recommender system☆62Updated 3 years ago
- One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation (WSDM-2023)☆36Updated 9 months ago
- [SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation☆38Updated 3 years ago
- Adaptive Denoising Training (ADT) for Recommendation.☆71Updated 3 years ago
- Code for our WSDM 2022 paper titled "The Datasets Dilemma: How Much Do We Really Know About Recommendation Datasets?"☆24Updated 3 years ago
- ☆81Updated 7 months ago
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆43Updated last year