qinjr / RIMLinks
code for RIM
☆22Updated 2 years ago
Alternatives and similar repositories for RIM
Users that are interested in RIM are comparing it to the libraries listed below
Sorting:
- Official Implementation of Information Theoretic Counterfactual Learning from Missing Not At Random Feedback. NeurIPS 2020.☆29Updated 4 years ago
- ☆15Updated 4 years ago
- Experiments codes for RecSys '21 paper "Mitigating Confounding Bias in Recommendation via Information Bottleneck"☆19Updated 3 years ago
- A Generic Network Compression Framework for Sequential Recommender Systems☆19Updated 5 years ago
- Adaptive Denoising Training (ADT) for Recommendation.☆74Updated 3 years ago
- Experiments codes for SIGIR '20 paper "A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data"☆34Updated 5 years ago
- This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.☆108Updated 3 years ago
- The code for paper MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation☆53Updated 5 years ago
- ☆29Updated 3 months ago
- ☆41Updated 6 years ago
- Source codes for our AAAI'20 paper: Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions☆38Updated 4 years ago
- ☆54Updated 11 months ago
- [WWW 2021]Task-adaptive Neural Process for User Cold-Start Recommendation☆33Updated 4 years ago
- The official implementation of "DVR: Micro-Video Recommendation Optimizing Watch-Time-Gain under Duration Bias" (MM '22)☆18Updated 2 years ago
- Source codes for our SIGIR '23 paper☆31Updated last year
- ☆11Updated 3 years ago
- ☆31Updated last year
- Experimental codes for the paper 'How to Learn Item Representation for Cold-Start Multimedia Recommendation?'☆18Updated last year
- Code for paper "Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning"☆64Updated 2 years ago
- ☆24Updated 4 years ago
- This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertisin…☆56Updated 3 years ago
- ☆49Updated last year
- This is an implementation for our SIGIR 2020 paper: How to Retrain Recommender System? A Sequential Meta-Learning Method.☆46Updated 2 years ago
- ☆30Updated 4 years ago
- An unofficial pytorch implementation of MELU☆46Updated last year
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆76Updated 4 years ago
- TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21☆25Updated 2 years ago
- Pre-training and Lifelong learning for User Embedding and Recommender System☆45Updated last year
- Contrastive Learning for Cold-start Recommendation☆69Updated 3 years ago
- Graph Meta Embedding (GME) for cold-start ads in CTR/CVR prediction☆37Updated 4 years ago