technoapurva / Steam-Bundle-RecommendationLinks
☆24Updated 8 years ago
Alternatives and similar repositories for Steam-Bundle-Recommendation
Users that are interested in Steam-Bundle-Recommendation are comparing it to the libraries listed below
Sorting:
- This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.☆108Updated 3 years ago
- Codes for papers: 1. Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters (ICML). 2. Less is More: Explorin…☆78Updated 2 years ago
- The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)☆155Updated last year
- [TKDE 2021] Source code and datasets for the paper "Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recomm…☆84Updated last year
- Disentagnled Graph Collaborative Filtering, SIGIR2020☆141Updated 5 years ago
- Code for the SIGIR20 paper -- Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation☆44Updated 5 years ago
- Code for the SIGIR20 paper -- Measuring and Mitigating Item Under-Recommendation Bias inPersonalized Ranking Systems☆15Updated 5 years ago
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆43Updated last year
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆75Updated 4 years ago
- Code for ICML2019 Paper "Compositional Invariance Constraints for Graph Embeddings"☆50Updated 5 years ago
- Experiments codes for RecSys '21 paper "Mitigating Confounding Bias in Recommendation via Information Bottleneck"☆18Updated 3 years ago
- A list of compatible datasets, noting other major repositories containing popular real-world datasets, along with sample code for a range…☆12Updated 5 years ago
- A PyTorch implementation of ICLR 2021 paper: Learnable Embedding Sizes for Recommender Systems☆66Updated 4 years ago
- TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21☆25Updated 2 years ago
- This is an implementation for our SIGIR 2020 paper: How to Retrain Recommender System? A Sequential Meta-Learning Method.☆46Updated 2 years ago
- Hierarchical Gating Networks for Sequential Recommendation☆142Updated 3 years ago
- Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue☆25Updated 3 years ago
- Adaptive Denoising Training (ADT) for Recommendation.☆74Updated 3 years ago
- This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorf…☆104Updated 2 years ago
- ☆46Updated 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
- ☆34Updated 4 years ago
- ☆69Updated 5 years ago
- A PyTorch implementation of Convolutional Sequence Embedding Recommendation Model (Caser)☆271Updated 4 years ago
- Code for GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation (SIGIR 2020)☆49Updated 2 years ago
- This is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of exist…☆153Updated 4 years ago
- [WWW 2021]Task-adaptive Neural Process for User Cold-Start Recommendation☆33Updated 4 years ago
- Source code for AAAI 2020 paper "Multi-Component Graph Convolutional Collaborative Filtering"☆61Updated 4 years ago
- ☆83Updated 6 years ago
- This is our implementation of EHCF: Efficient Heterogeneous Collaborative Filtering (AAAI 2020)☆107Updated 5 years ago