bigdata-ustc / MAATLinks
Model-Agnostic Adaptive Testing
☆10Updated 4 years ago
Alternatives and similar repositories for MAAT
Users that are interested in MAAT are comparing it to the libraries listed below
Sorting:
- DIRT:Deep Learning Enhanced Item Response Theory for Cognitive Diagnosis☆25Updated 5 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
- Official code of HierCDF @ SIGKDD2022☆12Updated 3 years ago
- The simulator for education☆27Updated 4 years ago
- ☆40Updated 6 years ago
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆75Updated 4 years ago
- Dynamic Key-Value Memory Networks for Knowledge Tracing☆23Updated 7 years ago
- ☆161Updated 2 years ago
- Source codes and datasets for paper "RCD: Relation Map Driven Cognitive Diagnosis for Intelligent Education Systems" (SIGIR'2021)☆40Updated 11 months ago
- ☆41Updated 6 years ago
- ☆21Updated 4 years ago
- This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.☆108Updated 3 years ago
- ☆64Updated 5 years ago
- KwaiRec: A Fully-observed Dataset for Recommender Systems.☆167Updated 9 months ago
- Experiments codes for RecSys '21 paper "Mitigating Confounding Bias in Recommendation via Information Bottleneck"☆18Updated 3 years ago
- This is our implementation of NARRE:Neural Attentional Regression with Review-level Explanations☆108Updated 7 years ago
- “Chorus” of recommendation models: a PyTorch framework for Top-K recommendation with implicit feedback.☆38Updated 2 years ago
- UBR4CTR is the code for our proposed User Behavior Retrieval for CTR Prediction framework in SIGIR 2020.☆79Updated 4 years ago
- Code for paper 'Exact-K Recommendation via Maximal Clique Optimization'☆79Updated 5 years ago
- ☆25Updated 4 years ago
- This repository contains recent research papers, datasets, and source codes (if any) for Group Recommendation☆51Updated last year
- TEM: Tree-enhanced Embedding Model for Explainable Recommendation, WWW2018☆76Updated 6 years ago
- An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos☆101Updated 9 months ago
- Source code for KDD 2018 paper "Leverage Meta-path based Context for Top-N Recommendation with a Neural Co-Attention Model"☆127Updated 5 years ago
- This is our implementation of NARRE☆17Updated 7 years ago
- The code for paper MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation☆53Updated 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
- ☆51Updated 6 years ago
- Codes for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"☆100Updated 5 years ago
- ☆71Updated 5 years ago